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You searched for subject:(Optimization reliable). Showing records 1 – 7 of 7 total matches.

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University of Tennessee – Knoxville

1. Zhang, Kaike. Efficient Algorithms for Solving Facility Problems with Disruptions.

Degree: 2017, University of Tennessee – Knoxville

 This study investigates facility location problems in the presence of facility disruptions. Two types of problems are investigated. Firstly, we study a facility location problem… (more)

Subjects/Keywords: reliable facility location; facility disruptions; fortification; cutting plane algorithm; robust optimization

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

APA (6th Edition):

Zhang, K. (2017). Efficient Algorithms for Solving Facility Problems with Disruptions. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/4804

Chicago Manual of Style (16th Edition):

Zhang, Kaike. “Efficient Algorithms for Solving Facility Problems with Disruptions.” 2017. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed March 28, 2020. https://trace.tennessee.edu/utk_graddiss/4804.

MLA Handbook (7th Edition):

Zhang, Kaike. “Efficient Algorithms for Solving Facility Problems with Disruptions.” 2017. Web. 28 Mar 2020.

Vancouver:

Zhang K. Efficient Algorithms for Solving Facility Problems with Disruptions. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2017. [cited 2020 Mar 28]. Available from: https://trace.tennessee.edu/utk_graddiss/4804.

Council of Science Editors:

Zhang K. Efficient Algorithms for Solving Facility Problems with Disruptions. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2017. Available from: https://trace.tennessee.edu/utk_graddiss/4804


INP Toulouse

2. Ninin, Jordan. Optimisation Globale basée sur l'Analyse d'Intervalles : relaxation Affine et Limitation de la Mémoire : Global Optimization based on Interval Analysis : affine Relaxation and Limited Memory.

Degree: Docteur es, Sûreté de logiciel et calcul à haute performance, 2010, INP Toulouse

Depuis une vingtaine d’années, la résolution de problèmes d’optimisation globale non convexes avec contraintes a connu un formidable essor. Les algorithmes de branch and bound… (more)

Subjects/Keywords: Recherche Opérationnelle; Optimisation Globale; Branch and Bound; Analyse d’Intervalles; Arithmétique Affine; Calcul Robuste; Relaxation Linéaire; Operations Research; Global Optimization; Branch and Bound; Nterval Analysis; Affine Arithmetic; Reliable Computation; Linear Relaxation

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APA (6th Edition):

Ninin, J. (2010). Optimisation Globale basée sur l'Analyse d'Intervalles : relaxation Affine et Limitation de la Mémoire : Global Optimization based on Interval Analysis : affine Relaxation and Limited Memory. (Doctoral Dissertation). INP Toulouse. Retrieved from http://www.theses.fr/2010INPT0090

Chicago Manual of Style (16th Edition):

Ninin, Jordan. “Optimisation Globale basée sur l'Analyse d'Intervalles : relaxation Affine et Limitation de la Mémoire : Global Optimization based on Interval Analysis : affine Relaxation and Limited Memory.” 2010. Doctoral Dissertation, INP Toulouse. Accessed March 28, 2020. http://www.theses.fr/2010INPT0090.

MLA Handbook (7th Edition):

Ninin, Jordan. “Optimisation Globale basée sur l'Analyse d'Intervalles : relaxation Affine et Limitation de la Mémoire : Global Optimization based on Interval Analysis : affine Relaxation and Limited Memory.” 2010. Web. 28 Mar 2020.

Vancouver:

Ninin J. Optimisation Globale basée sur l'Analyse d'Intervalles : relaxation Affine et Limitation de la Mémoire : Global Optimization based on Interval Analysis : affine Relaxation and Limited Memory. [Internet] [Doctoral dissertation]. INP Toulouse; 2010. [cited 2020 Mar 28]. Available from: http://www.theses.fr/2010INPT0090.

Council of Science Editors:

Ninin J. Optimisation Globale basée sur l'Analyse d'Intervalles : relaxation Affine et Limitation de la Mémoire : Global Optimization based on Interval Analysis : affine Relaxation and Limited Memory. [Doctoral Dissertation]. INP Toulouse; 2010. Available from: http://www.theses.fr/2010INPT0090


Université de Grenoble

3. Pham-Quang, Phuong. Modélisation magnéto-mécanique d'un nano commutateur. Optimisation sous contraintes de fiabilité par dérivation automatique des programmes en Java : Magneto-mechanical modelling of nano switch. Reliability-based design optimization by automatic differentiation in Java.

Degree: Docteur es, Sciences et technologie industrielles, 2011, Université de Grenoble

Les nano commutateurs magnétiques sont en cours d'étude et ils sont envisageables dans plusieurs domaines d'application comme les interrupteurs d'alimentation, les convertisseurs DC/DC...etc. Partant du… (more)

Subjects/Keywords: Analyse de contact; Couplage magnéto-mécanique; Couplage magnéto-mécanique; Dérivation automatique de code; Analyse de sensibilité; Optimisation avec fiabilité; Contact analysis; Magneto-mechanical coupling; Nano magnetic switch; Automatic differentiation; Sensitivity analysis; Optimization reliable

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APA (6th Edition):

Pham-Quang, P. (2011). Modélisation magnéto-mécanique d'un nano commutateur. Optimisation sous contraintes de fiabilité par dérivation automatique des programmes en Java : Magneto-mechanical modelling of nano switch. Reliability-based design optimization by automatic differentiation in Java. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2011GRENT060

Chicago Manual of Style (16th Edition):

Pham-Quang, Phuong. “Modélisation magnéto-mécanique d'un nano commutateur. Optimisation sous contraintes de fiabilité par dérivation automatique des programmes en Java : Magneto-mechanical modelling of nano switch. Reliability-based design optimization by automatic differentiation in Java.” 2011. Doctoral Dissertation, Université de Grenoble. Accessed March 28, 2020. http://www.theses.fr/2011GRENT060.

MLA Handbook (7th Edition):

Pham-Quang, Phuong. “Modélisation magnéto-mécanique d'un nano commutateur. Optimisation sous contraintes de fiabilité par dérivation automatique des programmes en Java : Magneto-mechanical modelling of nano switch. Reliability-based design optimization by automatic differentiation in Java.” 2011. Web. 28 Mar 2020.

Vancouver:

Pham-Quang P. Modélisation magnéto-mécanique d'un nano commutateur. Optimisation sous contraintes de fiabilité par dérivation automatique des programmes en Java : Magneto-mechanical modelling of nano switch. Reliability-based design optimization by automatic differentiation in Java. [Internet] [Doctoral dissertation]. Université de Grenoble; 2011. [cited 2020 Mar 28]. Available from: http://www.theses.fr/2011GRENT060.

Council of Science Editors:

Pham-Quang P. Modélisation magnéto-mécanique d'un nano commutateur. Optimisation sous contraintes de fiabilité par dérivation automatique des programmes en Java : Magneto-mechanical modelling of nano switch. Reliability-based design optimization by automatic differentiation in Java. [Doctoral Dissertation]. Université de Grenoble; 2011. Available from: http://www.theses.fr/2011GRENT060


University of Florida

4. Zhan, Lezhou. Models and Algorithms for Reliable Facility Location Problems and System Reliability Optimization.

Degree: PhD, Industrial and Systems Engineering, 2007, University of Florida

 Uncertainty is one of the elements that make this world so fascinating and dynamic. However, the existence of uncertainty also poses a great challenge to… (more)

Subjects/Keywords: Algorithms; Approximation; Datasets; Forts; Heuristics; Linear programming; Objective functions; Optimal solutions; System reliability; Total costs; algorithms, approximation, facility, fortify, global, heuristics, integer, location, models, monotonic, nonlinear, optimization, programming, reliability, reliable, stochastic, system, uncertainty, unreliable

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

APA (6th Edition):

Zhan, L. (2007). Models and Algorithms for Reliable Facility Location Problems and System Reliability Optimization. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0021262

Chicago Manual of Style (16th Edition):

Zhan, Lezhou. “Models and Algorithms for Reliable Facility Location Problems and System Reliability Optimization.” 2007. Doctoral Dissertation, University of Florida. Accessed March 28, 2020. http://ufdc.ufl.edu/UFE0021262.

MLA Handbook (7th Edition):

Zhan, Lezhou. “Models and Algorithms for Reliable Facility Location Problems and System Reliability Optimization.” 2007. Web. 28 Mar 2020.

Vancouver:

Zhan L. Models and Algorithms for Reliable Facility Location Problems and System Reliability Optimization. [Internet] [Doctoral dissertation]. University of Florida; 2007. [cited 2020 Mar 28]. Available from: http://ufdc.ufl.edu/UFE0021262.

Council of Science Editors:

Zhan L. Models and Algorithms for Reliable Facility Location Problems and System Reliability Optimization. [Doctoral Dissertation]. University of Florida; 2007. Available from: http://ufdc.ufl.edu/UFE0021262


University of Victoria

5. Moa, Belaid. Interval methods for global optimization.

Degree: Dept. of Computer Science, 2007, University of Victoria

 We propose interval arithmetic and interval constraint algorithms for global optimization. Both of these compute lower and upper bounds of a function over a box,… (more)

Subjects/Keywords: Interval constraints; Interval analysis; Interval arithmetic; constraint processing; reliable computing; numerical analysis; global optimization; bounding methods; point methods; exploration; UVic Subject Index::Sciences and Engineering::Applied Sciences::Computer science

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APA (6th Edition):

Moa, B. (2007). Interval methods for global optimization. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/198

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):

Moa, Belaid. “Interval methods for global optimization.” 2007. Thesis, University of Victoria. Accessed March 28, 2020. http://hdl.handle.net/1828/198.

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

MLA Handbook (7th Edition):

Moa, Belaid. “Interval methods for global optimization.” 2007. Web. 28 Mar 2020.

Vancouver:

Moa B. Interval methods for global optimization. [Internet] [Thesis]. University of Victoria; 2007. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/1828/198.

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

Council of Science Editors:

Moa B. Interval methods for global optimization. [Thesis]. University of Victoria; 2007. Available from: http://hdl.handle.net/1828/198

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

6. Adam, Stavros. Ανάπτυξη και θεμελίωση μεθόδων για αξιόπιστους νευρωνικούς υπολογισμούς.

Degree: 2016, University of Patras; Πανεπιστήμιο Πατρών

This dissertation deals with the development of methods and algorithms offering reliable neural computation. An important part of the research has focused on providing the… (more)

Subjects/Keywords: Νευρωνικοί υπολογισμοί; Υπολογιστική νοημοσύνη; Αλγόριθμοι; Αξιόπιστοι αλγόριθμοι και υπολογισμοί; Ανάλυση διαστημάτων; Νοημοσύνη σμήνους; Νευρωνικά δίκτυα; Ομαδοποίηση δεδομένων; Δίκτυα Kohonen; Πολυστρωματικά δίκτυα perceptron; Αρχικοποίηση συναπτικών βαρών; Διευθέτηση πολυπλοκότητας; Μηδενική στάθμη; Καθολική βελτιστοποίηση; ΕΚΠΑΙΔΕΥΣΗ ΝΕΥΡΩΝΙΚΩΝ ΔΙΚΤΥΩΝ; Αντιστροφή νευρωνικών δικτύων; Στατιστική ανάλυση δεδομένων; Reliable algorithms and computations; Interval analysis; Swarm intelligence; Neural networks; Clustering; Kohonen networks; Multilayer perceptrons; Complexity regularization; Zero norm; Global optimization; NEURAL NETWORK TRAINING; Neural network inversion; Statistical data analysis

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APA (6th Edition):

Adam, S. (2016). Ανάπτυξη και θεμελίωση μεθόδων για αξιόπιστους νευρωνικούς υπολογισμούς. (Thesis). University of Patras; Πανεπιστήμιο Πατρών. Retrieved from http://hdl.handle.net/10442/hedi/38490

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):

Adam, Stavros. “Ανάπτυξη και θεμελίωση μεθόδων για αξιόπιστους νευρωνικούς υπολογισμούς.” 2016. Thesis, University of Patras; Πανεπιστήμιο Πατρών. Accessed March 28, 2020. http://hdl.handle.net/10442/hedi/38490.

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

MLA Handbook (7th Edition):

Adam, Stavros. “Ανάπτυξη και θεμελίωση μεθόδων για αξιόπιστους νευρωνικούς υπολογισμούς.” 2016. Web. 28 Mar 2020.

Vancouver:

Adam S. Ανάπτυξη και θεμελίωση μεθόδων για αξιόπιστους νευρωνικούς υπολογισμούς. [Internet] [Thesis]. University of Patras; Πανεπιστήμιο Πατρών; 2016. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/10442/hedi/38490.

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

Council of Science Editors:

Adam S. Ανάπτυξη και θεμελίωση μεθόδων για αξιόπιστους νευρωνικούς υπολογισμούς. [Thesis]. University of Patras; Πανεπιστήμιο Πατρών; 2016. Available from: http://hdl.handle.net/10442/hedi/38490

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

7. Mangelson, Joshua. Toward Robust Multi-Agent Autonomous Underwater Inspection with Consistency and Global Optimality Guarantees.

Degree: PhD, Robotics, 2019, University of Michigan

 Teams of autonomous robotic systems have the potential to have a dramatic positive effect on our society. In the underwater domain specifically, collaborative multi-agent autonomous… (more)

Subjects/Keywords: Reliable Autonomy; Marine Robotic Civil Infrastructure Inspection; Multi-Agent Autonomous Navigation and Mapping; Simultaneous Localization and Mapping (SLAM); Global Optimality via Convex Optimization and Sum-of-Squares Techniques; Lie Group Uncertainty Characterization; Civil and Environmental Engineering; Computer Science; Electrical Engineering; Naval Architecture and Marine Engineering; Engineering

…Other Elements of Reliable Autonomy… …119 B A Review of Convex Optimization . . . . . . . . . . . . . . . . . . . . . . . . 120… …convex optimization techniques and show that it better enforces a rigid body transformation… …problems as polynomial optimization problems and prove that the globally optimal solution to both… …CHAPTER 1 Introduction 1.1 The Need for Reliable Multi-Agent Autonomy Teams of cooperative… 

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APA (6th Edition):

Mangelson, J. (2019). Toward Robust Multi-Agent Autonomous Underwater Inspection with Consistency and Global Optimality Guarantees. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/151558

Chicago Manual of Style (16th Edition):

Mangelson, Joshua. “Toward Robust Multi-Agent Autonomous Underwater Inspection with Consistency and Global Optimality Guarantees.” 2019. Doctoral Dissertation, University of Michigan. Accessed March 28, 2020. http://hdl.handle.net/2027.42/151558.

MLA Handbook (7th Edition):

Mangelson, Joshua. “Toward Robust Multi-Agent Autonomous Underwater Inspection with Consistency and Global Optimality Guarantees.” 2019. Web. 28 Mar 2020.

Vancouver:

Mangelson J. Toward Robust Multi-Agent Autonomous Underwater Inspection with Consistency and Global Optimality Guarantees. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/2027.42/151558.

Council of Science Editors:

Mangelson J. Toward Robust Multi-Agent Autonomous Underwater Inspection with Consistency and Global Optimality Guarantees. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/151558

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