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Research on multiobjective optimization based on ecological cooperation

  • Xian Bin Cao*
  • , Jin Long Li
  • , Xu Fa Wang
  • *Corresponding author for this work
  • University of Science and Technology of China

Research output: Contribution to journalArticlepeer-review

Abstract

A multiobjective optimization using genetic algorithm based on ecological cooperation (ECGA) is proposed after analyzing the present studies. In the algorithm, an ecological population density competition equation is used for reference to describe the relation between multiple objectives and to direct the adjustment over the relation at individual and population levels. Simulation experiments prove that the algorithm has a better performance in finding the Pareto solutions.

Original languageEnglish
Pages (from-to)521-528
Number of pages8
JournalRuan Jian Xue Bao/Journal of Software
Volume12
Issue number4
StatePublished - Apr 2001
Externally publishedYes

Keywords

  • Ecological cooperation
  • Ecological population density competition equation
  • Genetic algorithm
  • Multiobjective optimization
  • Pareto solution

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