Parallel genetic algorithm for generation expansion planning

Yoshikazu Fukuyama*, Yosuke Nakanishi, Hsaio Dong Chiang

*この研究の対応する著者

研究成果: Article査読

1 被引用数 (Scopus)

抄録

This paper presents a parallel genetic algorithm for solving the long-range generation expansion planning, which is a combinatorial optimization problem that determines the order of newly introduced generation units at each interval of the planning years. The method is implemented on a transputer that is one of the practical parallel processors. The effectiveness of the proposed method is demonstrated using a typical expansion problem with four technologies and five intervals and compared favorably with the conventional dynamic programming method and genetic algorithm. The numerical results reveal the speed and effectiveness of the proposed algorithm for solving the problem.

本文言語English
ページ(範囲)49-56
ページ数8
ジャーナルInternational Journal of Engineering Intelligent Systems for Electrical Engineering and Communications
4
1
出版ステータスPublished - 1996 12月 1
外部発表はい

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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