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You searched for subject:(Multiobjective Optimization). Showing records 1 – 30 of 195 total matches.

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University of Adelaide

1. Wu, Wenyan. Multiobjective genetic algorithm optimization of water distribution systems accounting for economic cost, greenhouse gas emissions and reliability.

Degree: 2012, University of Adelaide

Multiobjective optimization is becoming an increasingly important approach for both the design and operation of water distribution systems (WDSs). Given the multiobjective nature of these… (more)

Subjects/Keywords: water distribution systems; multiobjective optimization

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APA (6th Edition):

Wu, W. (2012). Multiobjective genetic algorithm optimization of water distribution systems accounting for economic cost, greenhouse gas emissions and reliability. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/90795

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wu, Wenyan. “Multiobjective genetic algorithm optimization of water distribution systems accounting for economic cost, greenhouse gas emissions and reliability.” 2012. Thesis, University of Adelaide. Accessed September 21, 2019. http://hdl.handle.net/2440/90795.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wu, Wenyan. “Multiobjective genetic algorithm optimization of water distribution systems accounting for economic cost, greenhouse gas emissions and reliability.” 2012. Web. 21 Sep 2019.

Vancouver:

Wu W. Multiobjective genetic algorithm optimization of water distribution systems accounting for economic cost, greenhouse gas emissions and reliability. [Internet] [Thesis]. University of Adelaide; 2012. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/2440/90795.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu W. Multiobjective genetic algorithm optimization of water distribution systems accounting for economic cost, greenhouse gas emissions and reliability. [Thesis]. University of Adelaide; 2012. Available from: http://hdl.handle.net/2440/90795

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Guelph

2. Vanin, Daniel. Dynamic Games and Multiobjective Optimization applied to designing Sustainable Urban Neighbourhoods .

Degree: 2013, University of Guelph

 This thesis intends to utilize mathematical models for testing the development of sustainable urban neighbourhoods and analyze the impact of these developments at city level… (more)

Subjects/Keywords: Multiobjective optimization; Dynamic games

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APA (6th Edition):

Vanin, D. (2013). Dynamic Games and Multiobjective Optimization applied to designing Sustainable Urban Neighbourhoods . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/5296

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vanin, Daniel. “Dynamic Games and Multiobjective Optimization applied to designing Sustainable Urban Neighbourhoods .” 2013. Thesis, University of Guelph. Accessed September 21, 2019. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/5296.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vanin, Daniel. “Dynamic Games and Multiobjective Optimization applied to designing Sustainable Urban Neighbourhoods .” 2013. Web. 21 Sep 2019.

Vancouver:

Vanin D. Dynamic Games and Multiobjective Optimization applied to designing Sustainable Urban Neighbourhoods . [Internet] [Thesis]. University of Guelph; 2013. [cited 2019 Sep 21]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/5296.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vanin D. Dynamic Games and Multiobjective Optimization applied to designing Sustainable Urban Neighbourhoods . [Thesis]. University of Guelph; 2013. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/5296

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

3. Yang, Xiaole. The Development of Dynamic Operational Risk Assessment in Oil/Gas and Chemical Industries.

Degree: 2011, Texas A&M University

 In oil/gas and chemical industries, dynamics is one of the most essential characteristics of any process. Time-dependent response is involved in most steps of both… (more)

Subjects/Keywords: Dynamic Operational Risk Assessment; Uncertainty; Multiobjective Optimization

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APA (6th Edition):

Yang, X. (2011). The Development of Dynamic Operational Risk Assessment in Oil/Gas and Chemical Industries. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7755

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yang, Xiaole. “The Development of Dynamic Operational Risk Assessment in Oil/Gas and Chemical Industries.” 2011. Thesis, Texas A&M University. Accessed September 21, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7755.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yang, Xiaole. “The Development of Dynamic Operational Risk Assessment in Oil/Gas and Chemical Industries.” 2011. Web. 21 Sep 2019.

Vancouver:

Yang X. The Development of Dynamic Operational Risk Assessment in Oil/Gas and Chemical Industries. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7755.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang X. The Development of Dynamic Operational Risk Assessment in Oil/Gas and Chemical Industries. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7755

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


McMaster University

4. Romanko, Oleksandr. Parametric and Multiobjective Optimization with Applications in Finance.

Degree: PhD, 2010, McMaster University

In this thesis parametric analysis for conic quadratic optimization problems is studied. In parametric analysis, which is often referred to as parametric optimization or… (more)

Subjects/Keywords: Parametric; Multiobjective Optimization; Finance; conic quadratic

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APA (6th Edition):

Romanko, O. (2010). Parametric and Multiobjective Optimization with Applications in Finance. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/19370

Chicago Manual of Style (16th Edition):

Romanko, Oleksandr. “Parametric and Multiobjective Optimization with Applications in Finance.” 2010. Doctoral Dissertation, McMaster University. Accessed September 21, 2019. http://hdl.handle.net/11375/19370.

MLA Handbook (7th Edition):

Romanko, Oleksandr. “Parametric and Multiobjective Optimization with Applications in Finance.” 2010. Web. 21 Sep 2019.

Vancouver:

Romanko O. Parametric and Multiobjective Optimization with Applications in Finance. [Internet] [Doctoral dissertation]. McMaster University; 2010. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/11375/19370.

Council of Science Editors:

Romanko O. Parametric and Multiobjective Optimization with Applications in Finance. [Doctoral Dissertation]. McMaster University; 2010. Available from: http://hdl.handle.net/11375/19370


Oklahoma State University

5. Govindarajan, Anand. Optimization of Processes for Sustainability.

Degree: School of Chemical Engineering, 2011, Oklahoma State University

 This research is focused on developing a methodology to optimize processes for sustainability. To design a sustainable process that addresses economic, environmental and social concerns… (more)

Subjects/Keywords: chemical processes; constrained; multiobjective; optimization; sustainability; weighted

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APA (6th Edition):

Govindarajan, A. (2011). Optimization of Processes for Sustainability. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/9634

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Govindarajan, Anand. “Optimization of Processes for Sustainability.” 2011. Thesis, Oklahoma State University. Accessed September 21, 2019. http://hdl.handle.net/11244/9634.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Govindarajan, Anand. “Optimization of Processes for Sustainability.” 2011. Web. 21 Sep 2019.

Vancouver:

Govindarajan A. Optimization of Processes for Sustainability. [Internet] [Thesis]. Oklahoma State University; 2011. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/11244/9634.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Govindarajan A. Optimization of Processes for Sustainability. [Thesis]. Oklahoma State University; 2011. Available from: http://hdl.handle.net/11244/9634

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universitat Politècnica de València

6. Montalva Subirats, José Miguel. Optimización multiobjetivo de la distribución en planta de procesos industriales. Estudio de objetivos.

Degree: 2011, Universitat Politècnica de València

 En el proceso de diseño e las construcciones industriales, es de vital importancia conocer cual es la ubicación óptima de las diferentes áras de trabajo… (more)

Subjects/Keywords: Facility layout problem; Multiobjective optimization; Simulated annealing

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APA (6th Edition):

Montalva Subirats, J. M. (2011). Optimización multiobjetivo de la distribución en planta de procesos industriales. Estudio de objetivos. (Doctoral Dissertation). Universitat Politècnica de València. Retrieved from http://hdl.handle.net/10251/11147

Chicago Manual of Style (16th Edition):

Montalva Subirats, José Miguel. “Optimización multiobjetivo de la distribución en planta de procesos industriales. Estudio de objetivos. ” 2011. Doctoral Dissertation, Universitat Politècnica de València. Accessed September 21, 2019. http://hdl.handle.net/10251/11147.

MLA Handbook (7th Edition):

Montalva Subirats, José Miguel. “Optimización multiobjetivo de la distribución en planta de procesos industriales. Estudio de objetivos. ” 2011. Web. 21 Sep 2019.

Vancouver:

Montalva Subirats JM. Optimización multiobjetivo de la distribución en planta de procesos industriales. Estudio de objetivos. [Internet] [Doctoral dissertation]. Universitat Politècnica de València; 2011. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10251/11147.

Council of Science Editors:

Montalva Subirats JM. Optimización multiobjetivo de la distribución en planta de procesos industriales. Estudio de objetivos. [Doctoral Dissertation]. Universitat Politècnica de València; 2011. Available from: http://hdl.handle.net/10251/11147


University of Tasmania

7. Sumoro, C. Hyperspectral classification optimization using multiobjective evolutionary algorithm.

Degree: 2018, University of Tasmania

 The development of hyperspectral imagers provides an avenue to exploit it as a bio-optical taxonomic identification tool. In order to classify the species based on… (more)

Subjects/Keywords: hyperspectral; genetic algorithm; multiobjective; optimization; classification

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APA (6th Edition):

Sumoro, C. (2018). Hyperspectral classification optimization using multiobjective evolutionary algorithm. (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/28586/1/Sumoro_C_whole_thesis.pdf ; Sumoro, C ORCID: 0000-0003-0918-5411 <https://orcid.org/0000-0003-0918-5411> 2018 , 'Hyperspectral classification optimization using multiobjective evolutionary algorithm', Research Master thesis, University of Tasmania.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sumoro, C. “Hyperspectral classification optimization using multiobjective evolutionary algorithm.” 2018. Thesis, University of Tasmania. Accessed September 21, 2019. https://eprints.utas.edu.au/28586/1/Sumoro_C_whole_thesis.pdf ; Sumoro, C ORCID: 0000-0003-0918-5411 <https://orcid.org/0000-0003-0918-5411> 2018 , 'Hyperspectral classification optimization using multiobjective evolutionary algorithm', Research Master thesis, University of Tasmania..

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sumoro, C. “Hyperspectral classification optimization using multiobjective evolutionary algorithm.” 2018. Web. 21 Sep 2019.

Vancouver:

Sumoro C. Hyperspectral classification optimization using multiobjective evolutionary algorithm. [Internet] [Thesis]. University of Tasmania; 2018. [cited 2019 Sep 21]. Available from: https://eprints.utas.edu.au/28586/1/Sumoro_C_whole_thesis.pdf ; Sumoro, C ORCID: 0000-0003-0918-5411 <https://orcid.org/0000-0003-0918-5411> 2018 , 'Hyperspectral classification optimization using multiobjective evolutionary algorithm', Research Master thesis, University of Tasmania..

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sumoro C. Hyperspectral classification optimization using multiobjective evolutionary algorithm. [Thesis]. University of Tasmania; 2018. Available from: https://eprints.utas.edu.au/28586/1/Sumoro_C_whole_thesis.pdf ; Sumoro, C ORCID: 0000-0003-0918-5411 <https://orcid.org/0000-0003-0918-5411> 2018 , 'Hyperspectral classification optimization using multiobjective evolutionary algorithm', Research Master thesis, University of Tasmania.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Oklahoma State University

8. Daneshyari, Moayed. Cultural Particle Swarm Optimization.

Degree: School of Electrical & Computer Engineering, 2010, Oklahoma State University

 In this dissertation, a computational paradigm is proposed that adopts the particle swarm optimization within a cultural framework. The cultural algorithm adopted here consists of… (more)

Subjects/Keywords: constrained optimization; cultural algorithm; dynamic optimization; multiobjective optimization; particle swarm o

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APA (6th Edition):

Daneshyari, M. (2010). Cultural Particle Swarm Optimization. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/7852

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Daneshyari, Moayed. “Cultural Particle Swarm Optimization.” 2010. Thesis, Oklahoma State University. Accessed September 21, 2019. http://hdl.handle.net/11244/7852.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Daneshyari, Moayed. “Cultural Particle Swarm Optimization.” 2010. Web. 21 Sep 2019.

Vancouver:

Daneshyari M. Cultural Particle Swarm Optimization. [Internet] [Thesis]. Oklahoma State University; 2010. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/11244/7852.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Daneshyari M. Cultural Particle Swarm Optimization. [Thesis]. Oklahoma State University; 2010. Available from: http://hdl.handle.net/11244/7852

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Clemson University

9. Dranichak, Garrett M. Robust Solutions to Uncertain Multiobjective Programs.

Degree: PhD, Mathematical Sciences, 2018, Clemson University

 Decision making in the presence of uncertainty and multiple conflicting objec-tives is a real-life issue, especially in the fields of engineering, public policy making, business… (more)

Subjects/Keywords: highly robust efficient; objective-wise uncertainty; robust multiobjective optimization; uncertain multiobjective programs

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APA (6th Edition):

Dranichak, G. M. (2018). Robust Solutions to Uncertain Multiobjective Programs. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2154

Chicago Manual of Style (16th Edition):

Dranichak, Garrett M. “Robust Solutions to Uncertain Multiobjective Programs.” 2018. Doctoral Dissertation, Clemson University. Accessed September 21, 2019. https://tigerprints.clemson.edu/all_dissertations/2154.

MLA Handbook (7th Edition):

Dranichak, Garrett M. “Robust Solutions to Uncertain Multiobjective Programs.” 2018. Web. 21 Sep 2019.

Vancouver:

Dranichak GM. Robust Solutions to Uncertain Multiobjective Programs. [Internet] [Doctoral dissertation]. Clemson University; 2018. [cited 2019 Sep 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/2154.

Council of Science Editors:

Dranichak GM. Robust Solutions to Uncertain Multiobjective Programs. [Doctoral Dissertation]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_dissertations/2154

10. Liagkouras, Konstantinos. Novel multiobjective evolutionary algorithm approaches with application in the constrained portfolio optimization.

Degree: 2016, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς

Multiobjective optimization (MO) is the problem of simultaneously optimizing two or more conflicting objectives subject to certain constraints. Many real-world problems involve simultaneous optimization of… (more)

Subjects/Keywords: Πολυαντικειμενικοί Εξελικτικοί Αλγόριθμοι; Βελτιστοποίηση χαρτοφυλακίου; Multiobjective optimization; Evolutionary algorithms; Portfolio optimization

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APA (6th Edition):

Liagkouras, K. (2016). Novel multiobjective evolutionary algorithm approaches with application in the constrained portfolio optimization. (Thesis). University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Retrieved from http://hdl.handle.net/10442/hedi/37602

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liagkouras, Konstantinos. “Novel multiobjective evolutionary algorithm approaches with application in the constrained portfolio optimization.” 2016. Thesis, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Accessed September 21, 2019. http://hdl.handle.net/10442/hedi/37602.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liagkouras, Konstantinos. “Novel multiobjective evolutionary algorithm approaches with application in the constrained portfolio optimization.” 2016. Web. 21 Sep 2019.

Vancouver:

Liagkouras K. Novel multiobjective evolutionary algorithm approaches with application in the constrained portfolio optimization. [Internet] [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2016. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10442/hedi/37602.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liagkouras K. Novel multiobjective evolutionary algorithm approaches with application in the constrained portfolio optimization. [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2016. Available from: http://hdl.handle.net/10442/hedi/37602

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Clemson University

11. Holzmann, Timothy. Network Interdiction under Uncertainty.

Degree: PhD, Industrial Engineering, 2019, Clemson University

  We consider variants to one of the most common network interdiction formulations: the shortest path interdiction problem. This problem involves leader and a follower… (more)

Subjects/Keywords: Combinatorial Optimization; Industrial Engineering; Mathematical Programming; Multiobjective Optimization; Network Interdiction

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APA (6th Edition):

Holzmann, T. (2019). Network Interdiction under Uncertainty. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2437

Chicago Manual of Style (16th Edition):

Holzmann, Timothy. “Network Interdiction under Uncertainty.” 2019. Doctoral Dissertation, Clemson University. Accessed September 21, 2019. https://tigerprints.clemson.edu/all_dissertations/2437.

MLA Handbook (7th Edition):

Holzmann, Timothy. “Network Interdiction under Uncertainty.” 2019. Web. 21 Sep 2019.

Vancouver:

Holzmann T. Network Interdiction under Uncertainty. [Internet] [Doctoral dissertation]. Clemson University; 2019. [cited 2019 Sep 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/2437.

Council of Science Editors:

Holzmann T. Network Interdiction under Uncertainty. [Doctoral Dissertation]. Clemson University; 2019. Available from: https://tigerprints.clemson.edu/all_dissertations/2437


University of Utah

12. LaPierre, Cristen Doyle. Identification of optimal dosing regimens for procedures requiring esophageal instrumentation through multiobjective optimization.

Degree: PhD, Bioengineering, 2010, University of Utah

 The use of propofol and propofol in combination with remifentanil by nonanesthesiologists is a controversial topic. Much of the concern centers on adverse respiratory effects:… (more)

Subjects/Keywords: Endoscopy; Multiobjective optimization; Optimal dosing; Pharmacodynamics; Propofol; Remifentanil

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APA (6th Edition):

LaPierre, C. D. (2010). Identification of optimal dosing regimens for procedures requiring esophageal instrumentation through multiobjective optimization. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/294/rec/1283

Chicago Manual of Style (16th Edition):

LaPierre, Cristen Doyle. “Identification of optimal dosing regimens for procedures requiring esophageal instrumentation through multiobjective optimization.” 2010. Doctoral Dissertation, University of Utah. Accessed September 21, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/294/rec/1283.

MLA Handbook (7th Edition):

LaPierre, Cristen Doyle. “Identification of optimal dosing regimens for procedures requiring esophageal instrumentation through multiobjective optimization.” 2010. Web. 21 Sep 2019.

Vancouver:

LaPierre CD. Identification of optimal dosing regimens for procedures requiring esophageal instrumentation through multiobjective optimization. [Internet] [Doctoral dissertation]. University of Utah; 2010. [cited 2019 Sep 21]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/294/rec/1283.

Council of Science Editors:

LaPierre CD. Identification of optimal dosing regimens for procedures requiring esophageal instrumentation through multiobjective optimization. [Doctoral Dissertation]. University of Utah; 2010. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/294/rec/1283


University of Ontario Institute of Technology

13. Bourennani, Farid. Leadership based multi-objective optimization with applications in energy systems.

Degree: 2013, University of Ontario Institute of Technology

 Multi-objective optimization metaheuristics (MOMs) are powerful methods for solving complex optimization problems but can require a large number of function evaluations to find optimal solutions.… (more)

Subjects/Keywords: Multi-objective optimization; Multiobjective evolutionary computation; Metaheuristics; Hybrid energy systems design

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APA (6th Edition):

Bourennani, F. (2013). Leadership based multi-objective optimization with applications in energy systems. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/396

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bourennani, Farid. “Leadership based multi-objective optimization with applications in energy systems.” 2013. Thesis, University of Ontario Institute of Technology. Accessed September 21, 2019. http://hdl.handle.net/10155/396.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bourennani, Farid. “Leadership based multi-objective optimization with applications in energy systems.” 2013. Web. 21 Sep 2019.

Vancouver:

Bourennani F. Leadership based multi-objective optimization with applications in energy systems. [Internet] [Thesis]. University of Ontario Institute of Technology; 2013. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10155/396.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bourennani F. Leadership based multi-objective optimization with applications in energy systems. [Thesis]. University of Ontario Institute of Technology; 2013. Available from: http://hdl.handle.net/10155/396

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Alberta

14. Liu, Gang. Development and Evaluation of Model-Based Adaptive Signal Control for Congested Arterial Traffic.

Degree: PhD, Department of Civil and Environmental Engineering, 2015, University of Alberta

 Under congested conditions, the road traffic states of different arterial links will interact with each other; therefore, it is necessary to understand the behavior of… (more)

Subjects/Keywords: Congested Arterial Traffic; Genetic Algorithm; Multiobjective Optimization; Adaptive Traffic Signal Control

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APA (6th Edition):

Liu, G. (2015). Development and Evaluation of Model-Based Adaptive Signal Control for Congested Arterial Traffic. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/tq57nt95j

Chicago Manual of Style (16th Edition):

Liu, Gang. “Development and Evaluation of Model-Based Adaptive Signal Control for Congested Arterial Traffic.” 2015. Doctoral Dissertation, University of Alberta. Accessed September 21, 2019. https://era.library.ualberta.ca/files/tq57nt95j.

MLA Handbook (7th Edition):

Liu, Gang. “Development and Evaluation of Model-Based Adaptive Signal Control for Congested Arterial Traffic.” 2015. Web. 21 Sep 2019.

Vancouver:

Liu G. Development and Evaluation of Model-Based Adaptive Signal Control for Congested Arterial Traffic. [Internet] [Doctoral dissertation]. University of Alberta; 2015. [cited 2019 Sep 21]. Available from: https://era.library.ualberta.ca/files/tq57nt95j.

Council of Science Editors:

Liu G. Development and Evaluation of Model-Based Adaptive Signal Control for Congested Arterial Traffic. [Doctoral Dissertation]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/tq57nt95j


NSYSU

15. Chou, Ta-Yuan. Method of Inequalities Based Multiobjective Genetic Algorithm for Airline Scheduling Problems.

Degree: PhD, Computer Science and Engineering, 2008, NSYSU

 In airline industry scheduling problems, the aircraft routing and the aircrew pairing problems are highly related to fueling and personnel costs. When performing aircraft routing… (more)

Subjects/Keywords: Multiobjective; Optimization; Genetic Algorithm; Method of Inequalities; Scheduling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chou, T. (2008). Method of Inequalities Based Multiobjective Genetic Algorithm for Airline Scheduling Problems. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0214108-174718

Chicago Manual of Style (16th Edition):

Chou, Ta-Yuan. “Method of Inequalities Based Multiobjective Genetic Algorithm for Airline Scheduling Problems.” 2008. Doctoral Dissertation, NSYSU. Accessed September 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0214108-174718.

MLA Handbook (7th Edition):

Chou, Ta-Yuan. “Method of Inequalities Based Multiobjective Genetic Algorithm for Airline Scheduling Problems.” 2008. Web. 21 Sep 2019.

Vancouver:

Chou T. Method of Inequalities Based Multiobjective Genetic Algorithm for Airline Scheduling Problems. [Internet] [Doctoral dissertation]. NSYSU; 2008. [cited 2019 Sep 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0214108-174718.

Council of Science Editors:

Chou T. Method of Inequalities Based Multiobjective Genetic Algorithm for Airline Scheduling Problems. [Doctoral Dissertation]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0214108-174718


Penn State University

16. Slingerland, Laura A. A Product Family Optimization Approach Using Multidimensional Data Visualization.

Degree: MS, Mechanical Engineering, 2010, Penn State University

 Product families have become an effective way for companies to provide the variety of products customers desire while keeping manufacturing costs relatively low. One of… (more)

Subjects/Keywords: multiobjective optimization; product platform; product family; commonality; visualization

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APA (6th Edition):

Slingerland, L. A. (2010). A Product Family Optimization Approach Using Multidimensional Data Visualization. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/10755

Chicago Manual of Style (16th Edition):

Slingerland, Laura A. “A Product Family Optimization Approach Using Multidimensional Data Visualization.” 2010. Masters Thesis, Penn State University. Accessed September 21, 2019. https://etda.libraries.psu.edu/catalog/10755.

MLA Handbook (7th Edition):

Slingerland, Laura A. “A Product Family Optimization Approach Using Multidimensional Data Visualization.” 2010. Web. 21 Sep 2019.

Vancouver:

Slingerland LA. A Product Family Optimization Approach Using Multidimensional Data Visualization. [Internet] [Masters thesis]. Penn State University; 2010. [cited 2019 Sep 21]. Available from: https://etda.libraries.psu.edu/catalog/10755.

Council of Science Editors:

Slingerland LA. A Product Family Optimization Approach Using Multidimensional Data Visualization. [Masters Thesis]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/10755


Penn State University

17. Hadka, David M. Robust, Adaptable Many-Objective Optimization: The Foundations, Parallelization and Application of the Borg MOEA.

Degree: PhD, Computer Science and Engineering, 2013, Penn State University

 This dissertation presents the design, development, and parallelization of the Borg Multiobjective Evolutionary Algorithm (MOEA), an efficient and robust many-objective optimization tool. It is characterized… (more)

Subjects/Keywords: borg; moea; multiobjective; optimization; many-objective; evolutionary; algorithm

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APA (6th Edition):

Hadka, D. M. (2013). Robust, Adaptable Many-Objective Optimization: The Foundations, Parallelization and Application of the Borg MOEA. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/16900

Chicago Manual of Style (16th Edition):

Hadka, David M. “Robust, Adaptable Many-Objective Optimization: The Foundations, Parallelization and Application of the Borg MOEA.” 2013. Doctoral Dissertation, Penn State University. Accessed September 21, 2019. https://etda.libraries.psu.edu/catalog/16900.

MLA Handbook (7th Edition):

Hadka, David M. “Robust, Adaptable Many-Objective Optimization: The Foundations, Parallelization and Application of the Borg MOEA.” 2013. Web. 21 Sep 2019.

Vancouver:

Hadka DM. Robust, Adaptable Many-Objective Optimization: The Foundations, Parallelization and Application of the Borg MOEA. [Internet] [Doctoral dissertation]. Penn State University; 2013. [cited 2019 Sep 21]. Available from: https://etda.libraries.psu.edu/catalog/16900.

Council of Science Editors:

Hadka DM. Robust, Adaptable Many-Objective Optimization: The Foundations, Parallelization and Application of the Borg MOEA. [Doctoral Dissertation]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/16900

18. Cardoso, Pedro J. S. Ant colony algorithms for multiple objective combinatorial optimization: applications to the minimum spanning trees problems.

Degree: 2010, RCAAP

 The study of meta-heuristic solutions based on the Ant Colony Optimization (ACO) paradigm for the Multiple Objective Minimum Spanning Trees and related combinatorial problems is… (more)

Subjects/Keywords: Swarm Intelligence, Multiobjective optimization, Computational Geometry; Investigação operacional

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APA (6th Edition):

Cardoso, P. J. S. (2010). Ant colony algorithms for multiple objective combinatorial optimization: applications to the minimum spanning trees problems. (Thesis). RCAAP. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:sapientia.ualg.pt:10400.1/203

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cardoso, Pedro J S. “Ant colony algorithms for multiple objective combinatorial optimization: applications to the minimum spanning trees problems.” 2010. Thesis, RCAAP. Accessed September 21, 2019. http://www.rcaap.pt/detail.jsp?id=oai:sapientia.ualg.pt:10400.1/203.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cardoso, Pedro J S. “Ant colony algorithms for multiple objective combinatorial optimization: applications to the minimum spanning trees problems.” 2010. Web. 21 Sep 2019.

Vancouver:

Cardoso PJS. Ant colony algorithms for multiple objective combinatorial optimization: applications to the minimum spanning trees problems. [Internet] [Thesis]. RCAAP; 2010. [cited 2019 Sep 21]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:sapientia.ualg.pt:10400.1/203.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cardoso PJS. Ant colony algorithms for multiple objective combinatorial optimization: applications to the minimum spanning trees problems. [Thesis]. RCAAP; 2010. Available from: http://www.rcaap.pt/detail.jsp?id=oai:sapientia.ualg.pt:10400.1/203

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Iowa State University

19. Amrit, Anand. Multi-objective aerodynamic design exploration using multi-fidelity methods and pareto set identification techniques.

Degree: 2018, Iowa State University

 The research objective of this work is to accelerate the process of multi-objective aerodynamic design exploration when using computationally intensive simulation models. The design of… (more)

Subjects/Keywords: Aerodynamic; data driven; Multi-fidelity; Multiobjective; Optimization; Surrogate modelling; Aerospace Engineering

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APA (6th Edition):

Amrit, A. (2018). Multi-objective aerodynamic design exploration using multi-fidelity methods and pareto set identification techniques. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16782

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Amrit, Anand. “Multi-objective aerodynamic design exploration using multi-fidelity methods and pareto set identification techniques.” 2018. Thesis, Iowa State University. Accessed September 21, 2019. https://lib.dr.iastate.edu/etd/16782.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Amrit, Anand. “Multi-objective aerodynamic design exploration using multi-fidelity methods and pareto set identification techniques.” 2018. Web. 21 Sep 2019.

Vancouver:

Amrit A. Multi-objective aerodynamic design exploration using multi-fidelity methods and pareto set identification techniques. [Internet] [Thesis]. Iowa State University; 2018. [cited 2019 Sep 21]. Available from: https://lib.dr.iastate.edu/etd/16782.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Amrit A. Multi-objective aerodynamic design exploration using multi-fidelity methods and pareto set identification techniques. [Thesis]. Iowa State University; 2018. Available from: https://lib.dr.iastate.edu/etd/16782

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. Zerbinati, Adrien. Algorithme à gradients multiples pour l'optimisation multiobjectif en simulation de haute fidélité : application à l'aérodynamique compressible : Non disponible.

Degree: Docteur es, Mathématiques appliquées, 2013, Nice

En optimisation multiobjectif, les connaissances du front et de l’ensemble de Pareto sont primordiales pour résoudre un problème. Un grand nombre de stratégies évolutionnaires sont… (more)

Subjects/Keywords: Optimisation; Multiobjectif; Gradient de descente; Optimization; Multiobjective; Gradient descent

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APA (6th Edition):

Zerbinati, A. (2013). Algorithme à gradients multiples pour l'optimisation multiobjectif en simulation de haute fidélité : application à l'aérodynamique compressible : Non disponible. (Doctoral Dissertation). Nice. Retrieved from http://www.theses.fr/2013NICE4025

Chicago Manual of Style (16th Edition):

Zerbinati, Adrien. “Algorithme à gradients multiples pour l'optimisation multiobjectif en simulation de haute fidélité : application à l'aérodynamique compressible : Non disponible.” 2013. Doctoral Dissertation, Nice. Accessed September 21, 2019. http://www.theses.fr/2013NICE4025.

MLA Handbook (7th Edition):

Zerbinati, Adrien. “Algorithme à gradients multiples pour l'optimisation multiobjectif en simulation de haute fidélité : application à l'aérodynamique compressible : Non disponible.” 2013. Web. 21 Sep 2019.

Vancouver:

Zerbinati A. Algorithme à gradients multiples pour l'optimisation multiobjectif en simulation de haute fidélité : application à l'aérodynamique compressible : Non disponible. [Internet] [Doctoral dissertation]. Nice; 2013. [cited 2019 Sep 21]. Available from: http://www.theses.fr/2013NICE4025.

Council of Science Editors:

Zerbinati A. Algorithme à gradients multiples pour l'optimisation multiobjectif en simulation de haute fidélité : application à l'aérodynamique compressible : Non disponible. [Doctoral Dissertation]. Nice; 2013. Available from: http://www.theses.fr/2013NICE4025


University of Ottawa

21. Belmadani, Manuel. MotifGP: DNA Motif Discovery Using Multiobjective Evolution .

Degree: 2016, University of Ottawa

 The motif discovery problem is becoming increasingly important for molecular biologists as new sequencing technologies are producing large amounts of data, at rates which are… (more)

Subjects/Keywords: Genetic Programming; Multiobjective optimization; Motif Discovery; Evolutionary Computing; Bioinformatics; ChIP-seq

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Belmadani, M. (2016). MotifGP: DNA Motif Discovery Using Multiobjective Evolution . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/34213

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Belmadani, Manuel. “MotifGP: DNA Motif Discovery Using Multiobjective Evolution .” 2016. Thesis, University of Ottawa. Accessed September 21, 2019. http://hdl.handle.net/10393/34213.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Belmadani, Manuel. “MotifGP: DNA Motif Discovery Using Multiobjective Evolution .” 2016. Web. 21 Sep 2019.

Vancouver:

Belmadani M. MotifGP: DNA Motif Discovery Using Multiobjective Evolution . [Internet] [Thesis]. University of Ottawa; 2016. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10393/34213.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Belmadani M. MotifGP: DNA Motif Discovery Using Multiobjective Evolution . [Thesis]. University of Ottawa; 2016. Available from: http://hdl.handle.net/10393/34213

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Iowa State University

22. Ibanez, Eduardo. A multiobjective optimization approach to the operation and investment of the national energy and transportation systems.

Degree: 2011, Iowa State University

 Most U.S. energy usage is for electricity production and vehicle transportation, two interdependent infrastructures. The strength and number of the interdependencies will increase rapidly as… (more)

Subjects/Keywords: energy; multiobjective; optimization; planning; transportation; Electrical and Computer Engineering

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APA (6th Edition):

Ibanez, E. (2011). A multiobjective optimization approach to the operation and investment of the national energy and transportation systems. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/11948

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ibanez, Eduardo. “A multiobjective optimization approach to the operation and investment of the national energy and transportation systems.” 2011. Thesis, Iowa State University. Accessed September 21, 2019. https://lib.dr.iastate.edu/etd/11948.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ibanez, Eduardo. “A multiobjective optimization approach to the operation and investment of the national energy and transportation systems.” 2011. Web. 21 Sep 2019.

Vancouver:

Ibanez E. A multiobjective optimization approach to the operation and investment of the national energy and transportation systems. [Internet] [Thesis]. Iowa State University; 2011. [cited 2019 Sep 21]. Available from: https://lib.dr.iastate.edu/etd/11948.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ibanez E. A multiobjective optimization approach to the operation and investment of the national energy and transportation systems. [Thesis]. Iowa State University; 2011. Available from: https://lib.dr.iastate.edu/etd/11948

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Wayne State University

23. Phan, Hung Minh. New variational principles with applications to optimization theory and algorithms.

Degree: PhD, Mathematics, 2011, Wayne State University

  In this dissertation we investigate some applications of variational analysis in optimization theory and algorithms. In the first part we develop new extremal principles… (more)

Subjects/Keywords: extremal principles; multiobjective optimization; Newton's method; semi-infinite programming; Mathematics

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APA (6th Edition):

Phan, H. M. (2011). New variational principles with applications to optimization theory and algorithms. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/327

Chicago Manual of Style (16th Edition):

Phan, Hung Minh. “New variational principles with applications to optimization theory and algorithms.” 2011. Doctoral Dissertation, Wayne State University. Accessed September 21, 2019. https://digitalcommons.wayne.edu/oa_dissertations/327.

MLA Handbook (7th Edition):

Phan, Hung Minh. “New variational principles with applications to optimization theory and algorithms.” 2011. Web. 21 Sep 2019.

Vancouver:

Phan HM. New variational principles with applications to optimization theory and algorithms. [Internet] [Doctoral dissertation]. Wayne State University; 2011. [cited 2019 Sep 21]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/327.

Council of Science Editors:

Phan HM. New variational principles with applications to optimization theory and algorithms. [Doctoral Dissertation]. Wayne State University; 2011. Available from: https://digitalcommons.wayne.edu/oa_dissertations/327


University of Toronto

24. Khalili, Nazanin. Multiobjective Optimization of PPy based Trilayer Actuators and Mechanical Sensors.

Degree: 2014, University of Toronto

Polypyrrole (PPy) as a conducting polymer has exhibited great potential for the fabrication of bending type actuators and conjugated polymer based mechanical sensors. Considering the… (more)

Subjects/Keywords: Conducting polymers; Mechanical sensors; Multiobjective optimization; PPy trilayer actuators; 0548

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Khalili, N. (2014). Multiobjective Optimization of PPy based Trilayer Actuators and Mechanical Sensors. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/68582

Chicago Manual of Style (16th Edition):

Khalili, Nazanin. “Multiobjective Optimization of PPy based Trilayer Actuators and Mechanical Sensors.” 2014. Masters Thesis, University of Toronto. Accessed September 21, 2019. http://hdl.handle.net/1807/68582.

MLA Handbook (7th Edition):

Khalili, Nazanin. “Multiobjective Optimization of PPy based Trilayer Actuators and Mechanical Sensors.” 2014. Web. 21 Sep 2019.

Vancouver:

Khalili N. Multiobjective Optimization of PPy based Trilayer Actuators and Mechanical Sensors. [Internet] [Masters thesis]. University of Toronto; 2014. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/1807/68582.

Council of Science Editors:

Khalili N. Multiobjective Optimization of PPy based Trilayer Actuators and Mechanical Sensors. [Masters Thesis]. University of Toronto; 2014. Available from: http://hdl.handle.net/1807/68582


University of Windsor

25. McPhee, Zachary. Optimizing Low Impact Development Controls for Sustainable Urban Flood Risk Management.

Degree: Civil and Environmental Engineering, 2019, University of Windsor

  Increased urbanization and a changing climate are contributing to an increased urban flood risk. Low Impact Development (LID) is a green infrastructure approach to… (more)

Subjects/Keywords: low impact development; Multiobjective optimization; risk; stormwater; urban flood

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APA (6th Edition):

McPhee, Z. (2019). Optimizing Low Impact Development Controls for Sustainable Urban Flood Risk Management. (Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/7647

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

McPhee, Zachary. “Optimizing Low Impact Development Controls for Sustainable Urban Flood Risk Management.” 2019. Thesis, University of Windsor. Accessed September 21, 2019. https://scholar.uwindsor.ca/etd/7647.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

McPhee, Zachary. “Optimizing Low Impact Development Controls for Sustainable Urban Flood Risk Management.” 2019. Web. 21 Sep 2019.

Vancouver:

McPhee Z. Optimizing Low Impact Development Controls for Sustainable Urban Flood Risk Management. [Internet] [Thesis]. University of Windsor; 2019. [cited 2019 Sep 21]. Available from: https://scholar.uwindsor.ca/etd/7647.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

McPhee Z. Optimizing Low Impact Development Controls for Sustainable Urban Flood Risk Management. [Thesis]. University of Windsor; 2019. Available from: https://scholar.uwindsor.ca/etd/7647

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


North Carolina State University

26. Rao, Sunil Murali. Tchebycheff Method-based Evolutionary Algorithm for Multiobjective Optimization.

Degree: MS, Civil Engineering, 2003, North Carolina State University

 In the operations research literature, the Tchebycheff method has been demonstrated to be a useful approach for exploring the non-dominated solutions for multiobjective optimization problems.… (more)

Subjects/Keywords: Multiobjective Optimization; Evolutionary computation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rao, S. M. (2003). Tchebycheff Method-based Evolutionary Algorithm for Multiobjective Optimization. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/272

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rao, Sunil Murali. “Tchebycheff Method-based Evolutionary Algorithm for Multiobjective Optimization.” 2003. Thesis, North Carolina State University. Accessed September 21, 2019. http://www.lib.ncsu.edu/resolver/1840.16/272.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rao, Sunil Murali. “Tchebycheff Method-based Evolutionary Algorithm for Multiobjective Optimization.” 2003. Web. 21 Sep 2019.

Vancouver:

Rao SM. Tchebycheff Method-based Evolutionary Algorithm for Multiobjective Optimization. [Internet] [Thesis]. North Carolina State University; 2003. [cited 2019 Sep 21]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/272.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rao SM. Tchebycheff Method-based Evolutionary Algorithm for Multiobjective Optimization. [Thesis]. North Carolina State University; 2003. Available from: http://www.lib.ncsu.edu/resolver/1840.16/272

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brigham Young University

27. Lewis, Patrick K. Multiobjective Optimization Method for Identifying Modular Product Platforms and Modules that Account for Changing Needs over Time.

Degree: MS, 2010, Brigham Young University

  Natural and predictable changes in consumer needs often require the development of new products. Providing solutions that anticipate, account for, and allow for these… (more)

Subjects/Keywords: multiobjective optimization; transient pareto design; modular design; future needs; Mechanical Engineering

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APA (6th Edition):

Lewis, P. K. (2010). Multiobjective Optimization Method for Identifying Modular Product Platforms and Modules that Account for Changing Needs over Time. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3116&context=etd

Chicago Manual of Style (16th Edition):

Lewis, Patrick K. “Multiobjective Optimization Method for Identifying Modular Product Platforms and Modules that Account for Changing Needs over Time.” 2010. Masters Thesis, Brigham Young University. Accessed September 21, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3116&context=etd.

MLA Handbook (7th Edition):

Lewis, Patrick K. “Multiobjective Optimization Method for Identifying Modular Product Platforms and Modules that Account for Changing Needs over Time.” 2010. Web. 21 Sep 2019.

Vancouver:

Lewis PK. Multiobjective Optimization Method for Identifying Modular Product Platforms and Modules that Account for Changing Needs over Time. [Internet] [Masters thesis]. Brigham Young University; 2010. [cited 2019 Sep 21]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3116&context=etd.

Council of Science Editors:

Lewis PK. Multiobjective Optimization Method for Identifying Modular Product Platforms and Modules that Account for Changing Needs over Time. [Masters Thesis]. Brigham Young University; 2010. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3116&context=etd


Brigham Young University

28. Curtis, Shane Keawe. A Method for Exploring Optimization Formulation Space in Conceptual Design.

Degree: MS, 2012, Brigham Young University

 Formulation space exploration is a new strategy for multiobjective optimization that facilitates both divergent searching and convergent optimization during the early stages of design. The… (more)

Subjects/Keywords: design space exploration; multiobjective optimization; conceptual design; Mechanical Engineering

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APA (6th Edition):

Curtis, S. K. (2012). A Method for Exploring Optimization Formulation Space in Conceptual Design. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4212&context=etd

Chicago Manual of Style (16th Edition):

Curtis, Shane Keawe. “A Method for Exploring Optimization Formulation Space in Conceptual Design.” 2012. Masters Thesis, Brigham Young University. Accessed September 21, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4212&context=etd.

MLA Handbook (7th Edition):

Curtis, Shane Keawe. “A Method for Exploring Optimization Formulation Space in Conceptual Design.” 2012. Web. 21 Sep 2019.

Vancouver:

Curtis SK. A Method for Exploring Optimization Formulation Space in Conceptual Design. [Internet] [Masters thesis]. Brigham Young University; 2012. [cited 2019 Sep 21]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4212&context=etd.

Council of Science Editors:

Curtis SK. A Method for Exploring Optimization Formulation Space in Conceptual Design. [Masters Thesis]. Brigham Young University; 2012. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4212&context=etd


Cornell University

29. Hitomi, Nozomi. Multiobjective Optimization for Space Systems Architecture: Applying and Extracting Knowledge .

Degree: 2018, Cornell University

 Distributed spacecraft missions (DSM) are gaining traction in the space community for the potential to deploy multiple simple and low-cost spacecraft to provide high temporal… (more)

Subjects/Keywords: Evolutionary Algorithms; Aerospace engineering; Adaptive operator selection; Multiobjective Optimization; Mechanical engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hitomi, N. (2018). Multiobjective Optimization for Space Systems Architecture: Applying and Extracting Knowledge . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59431

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hitomi, Nozomi. “Multiobjective Optimization for Space Systems Architecture: Applying and Extracting Knowledge .” 2018. Thesis, Cornell University. Accessed September 21, 2019. http://hdl.handle.net/1813/59431.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hitomi, Nozomi. “Multiobjective Optimization for Space Systems Architecture: Applying and Extracting Knowledge .” 2018. Web. 21 Sep 2019.

Vancouver:

Hitomi N. Multiobjective Optimization for Space Systems Architecture: Applying and Extracting Knowledge . [Internet] [Thesis]. Cornell University; 2018. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/1813/59431.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hitomi N. Multiobjective Optimization for Space Systems Architecture: Applying and Extracting Knowledge . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59431

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Eckart, Kyle Barry Claver. Multiobjective Optimization of Low Impact Development Stormwater Controls Under Climate Change Conditions.

Degree: MA, Civil and Environmental Engineering, 2015, University of Windsor

  A coupled optimization-simulation model was developed by linking the U.S. EPA Stormwater Management Model (SWMM) to the Borg Multiobjective Evolutionary Algorithm (Borg MOEA). The… (more)

Subjects/Keywords: Borg; climate change; low impact development; multiobjective optimization; stormwater management; SWMM

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Eckart, K. B. C. (2015). Multiobjective Optimization of Low Impact Development Stormwater Controls Under Climate Change Conditions. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5491

Chicago Manual of Style (16th Edition):

Eckart, Kyle Barry Claver. “Multiobjective Optimization of Low Impact Development Stormwater Controls Under Climate Change Conditions.” 2015. Masters Thesis, University of Windsor. Accessed September 21, 2019. https://scholar.uwindsor.ca/etd/5491.

MLA Handbook (7th Edition):

Eckart, Kyle Barry Claver. “Multiobjective Optimization of Low Impact Development Stormwater Controls Under Climate Change Conditions.” 2015. Web. 21 Sep 2019.

Vancouver:

Eckart KBC. Multiobjective Optimization of Low Impact Development Stormwater Controls Under Climate Change Conditions. [Internet] [Masters thesis]. University of Windsor; 2015. [cited 2019 Sep 21]. Available from: https://scholar.uwindsor.ca/etd/5491.

Council of Science Editors:

Eckart KBC. Multiobjective Optimization of Low Impact Development Stormwater Controls Under Climate Change Conditions. [Masters Thesis]. University of Windsor; 2015. Available from: https://scholar.uwindsor.ca/etd/5491

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