Coevolving Memetic Algorithms: A Review and Progress Report

  title={Coevolving Memetic Algorithms: A Review and Progress Report},
  author={Jim E. Smith},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
Coevolving memetic algorithms are a family of metaheuristic search algorithms in which a rule-based representation of local search (LS) is coadapted alongside candidate solutions within a hybrid evolutionary system. Simple versions of these systems have been shown to outperform other nonadaptive memetic and evolutionary algorithms on a range of problems. This paper presents a rationale for such systems and places them in the context of other recent work on adaptive memetic algorithms. It then… CONTINUE READING


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