Cylindrical constraint evolutionary algorithm for multiobjective optimization

Tohid Erfani, Sergei V. Utyuzhnikov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper introduces a new iterative evolutionary algorithm, which is able to provide an evenly distributed set of solutions in multiobjective context. The method is different from the other evolutionary algorithms in two perspectives. First, instead of density information incorporated to find a diverse set of solutions, a hypercylinder is introduced as a new constraint to the problem. Searching for the solution within this hypercylinder guarantees the evenly generated solutions at the end of the optimization process. Second, a fitness function is constructed to handle the problem constraints and meanwhile minimize the distance of the solution to the true optimum frontier. In addition, the method is developed in such a way that it can be easily implemented in searching the preferable region of the search space. The algorithm behaviour is tested on different test cases and the results are compared in both convergence and diversity to those of other well known approaches to demonstrate the efficacy of the proposed method.

Original languageEnglish
Title of host publicationECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications
Pages184-189
Number of pages6
Publication statusPublished - 2011
Externally publishedYes
EventInternational Conference on Evolutionary Computation Theory and Applications, ECTA 2011 and International Conference on Fuzzy Computation Theory and Applications, FCTA 2011 - Paris, France
Duration: 24 Oct 201126 Oct 2011

Publication series

NameECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications

Conference

ConferenceInternational Conference on Evolutionary Computation Theory and Applications, ECTA 2011 and International Conference on Fuzzy Computation Theory and Applications, FCTA 2011
Country/TerritoryFrance
CityParis
Period24/10/1126/10/11

Keywords

  • Cylindrical constraint method
  • Evolutionary algorithms
  • Evolutionary optimization
  • Genetic algorithm
  • Multiobjective optimization

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