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You searched for +publisher:"North Carolina State University" +contributor:("Dr. E.D. Brill Jr., Committee Member"). One record found.

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North Carolina State University

1. 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. While this method has been investigated with mathematical programming-based solution approaches, its application with modern heuristic search procedures is lacking. As heuristic search procedures continue to show promise as practical solution approaches for realistic engineering problems typically with multiple design objectives, the need for their applications in multiobjective optimization is becoming increasingly important. This paper investigates a new evolutionary algorithm-based multiobjective optimization procedure that builds upon the Tchebycheff method. By embedding a beneficial seeding approach, the efficiency of the algorithm is expectedly enhanced. This Tchebycheff Method-based Evolutionary Algorithm (TMEA) is tested and evaluated using a suite of 2-objective test problems, representing a range of complexities in the decision space as well as in the objective space. The performance of TMEA with those of other multiobjective evolutionary algorithms are compared using several performance metrics that are reported in the literature. For the problems considered in this paper, TMEA performs relatively well in generating non-dominated solutions that are close to the known Pareto set and are well distributed in the non-inferior space. Advisors/Committee Members: S.R. Ranjithan, Committee Chair (advisor), Dr. E.D. Brill Jr., Committee Member (advisor), Dr. John Baugh Jr., Committee Member (advisor).

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 October 17, 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. 17 Oct 2019.

Vancouver:

Rao SM. Tchebycheff Method-based Evolutionary Algorithm for Multiobjective Optimization. [Internet] [Thesis]. North Carolina State University; 2003. [cited 2019 Oct 17]. 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

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