Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

You searched for +publisher:"AUT University" +contributor:("Andrew, Connor"). One record found.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


AUT University

1. Shah, Amit Anilkumar. Performance evaluation of Metaheuristics Search Techniques in resource allocation problems .

Degree: 2012, AUT University

Existing research has focused on solving problems in the area of project management using variety of approaches including search based software engineering approach. The main aim of this research is to evaluate the performance of metaheuristics search techniques such as genetic algorithm, simulated annealing and tabu search in resource allocation problem with project management discipline. This will enable the paper to introduce an alternative approach to solve this Resource Constrained Project Scheduling Problem (RCPSP). The nature of this research is both constructive and experimental therefore software development research methodology will be utilised as a guideline. This study reports a comprehensive set of experiments which evaluate the performance of metaheuristics search techniques. Initial set of experiments were performed over various numerical test function to verify the implementation of search techniques. The next stage of experiments had focused on the scalability of these search techniques. Based on the first two experiments, search techniques were evaluated against a discrete problem to further explore the scalability. Finally, a multi objective test case problem was evaluated which focused around RCPSP. For each of these experiments the parameters were fine-tuned during the design phase of the experiments. Based on the experiments, it was apparent that the metaheuristics search techniques can be used to solve problems in resource allocation within project management discipline. Finally, a comparison analysis strongly suggests that overall simulated annealing had performed better than genetic algorithm and tabu search. Advisors/Committee Members: Andrew, Connor (advisor).

Subjects/Keywords: Software engineering; Search based software engineering; Metaheuristics search techniques; Resource constrained project scheduling problem; Cost allocation; Project management

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Shah, A. A. (2012). Performance evaluation of Metaheuristics Search Techniques in resource allocation problems . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/4463

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):

Shah, Amit Anilkumar. “Performance evaluation of Metaheuristics Search Techniques in resource allocation problems .” 2012. Thesis, AUT University. Accessed June 19, 2019. http://hdl.handle.net/10292/4463.

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

MLA Handbook (7th Edition):

Shah, Amit Anilkumar. “Performance evaluation of Metaheuristics Search Techniques in resource allocation problems .” 2012. Web. 19 Jun 2019.

Vancouver:

Shah AA. Performance evaluation of Metaheuristics Search Techniques in resource allocation problems . [Internet] [Thesis]. AUT University; 2012. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10292/4463.

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

Council of Science Editors:

Shah AA. Performance evaluation of Metaheuristics Search Techniques in resource allocation problems . [Thesis]. AUT University; 2012. Available from: http://hdl.handle.net/10292/4463

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

.