Proposal of a Multi-objective Genetic Algorithm for Noisy Fitness Functions

DOI 2 Citations

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Other Title
  • 不確実な関数を最適化する多目的遺伝的アルゴリズムの提案

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Description

In this paper, genetic algorithms for multi-objective optimization problems with uncertainty, which attract attention for applications to simulation-based and experiment-based optimization of real systems, are discussed. First, difficulties faced by conventional multi-objective GAs in their application to multi-objective optimization of noisy fitness functions are described. Second, to cope with these problems, a multi-objective GA that has a fitness estimation method and a new selection operator is proposed. The effectiveness of the proposed method is demonstrated by numerical simulations and real-world experiments.

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Details 詳細情報について

  • CRID
    1390282680143257728
  • NII Article ID
    130002037684
  • DOI
    10.5687/iscie.18.423
  • ISSN
    2185811X
    13425668
  • Text Lang
    ja
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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