Memory-based immigrants for genetic algorithms in dynamic environments

  title={Memory-based immigrants for genetic algorithms in dynamic environments},
  author={Shengxiang Yang},
Investigating and enhancing the performance of genetic algorithms in dynamic environments have attracted a growing interest from the community of genetic algorithms in recent years. This trend reflects the fact that many real world problems are actually dynamic, which poses serious challenge to traditional genetic algorithms. Several approaches have been developed into genetic algorithms for dynamic optimization problems. Among these approches, random immigrants and memory schemes have shown to… CONTINUE READING
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