Nonlinear numerical optimization with use of a hybrid Genetic Algorithm incorporating the Modified Powell method

Masahiro Okamoto, Taisuke Nonaka, Shuichiro Ochiai, Daisuke Tominaga

Research output: Contribution to journalArticle

35 Citations (Scopus)


We propose the hybrid numerical optimization technique which incorporates the Genetic Algorithm (GA) into the Modified Powell method. Escaping from trapping in the local minimum, this procedure can seek out the global minimum with considerably fast convergence. The effectiveness was shown especially for the minimum search problem of a variable-separable multi peak (bottom) function having over 20 000 local minima within the parameter searching region.

Original languageEnglish
Pages (from-to)63-72
Number of pages10
JournalApplied Mathematics and Computation
Issue number1
Publication statusPublished - Jan 1 1998


All Science Journal Classification (ASJC) codes

  • Computational Mathematics
  • Applied Mathematics

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