Proposal of Interactive YUKI Algorithm

DOI

Bibliographic Information

Other Title
  • 対話型YUKIアルゴリズムの提案

Description

<p>We propose the interactive YUKI algorithm as a new approach in interactive evolutionary computation. The YUKI algorithm searches for the optimal solution by balancing convergence and divergence of the current optimal solution candidates. We investigate the performance evaluation of the proposed algorithm through numerical simulations using a pseudo-user model which evaluates the candidate solution instead of real users. The simulation results indicate that, compared to traditional interactive genetic algorithm and interactive tabu search algorithm, the proposed algorithm can effectively balance convergence and diffusion in the search for candidate solutions, resulting in a tendency for higher evolutionary performance when the pseudo user has several preference points.</p>

Journal

Details 詳細情報について

  • CRID
    1390866448351941888
  • DOI
    10.14864/fss.40.0_78
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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