The improved draining method and its application to proper benchmark problems

Takashi Okamoto, Eitaro Aiyoshi

研究成果: Conference contribution

5 被引用数 (Scopus)


We have proposed "Draining Method (DM)" in [5,6]. DM is based on the Discrete Gradient Chaos Model (DGCM) and the objective function transformation which is developed by the analysis of DGCM. Applying DM to typical benchmark problems, we have confirmed its superior global optimization capability. However, as Liang et al pointed out in [9], typical benchmark problems, such as Rastrigin function, have several considerable problems. Besides, DM has a problem that we need to set Objective Function Value (OFV) of global minima (or desired value) at the start of the search. In this study, we propose to improve draining procedure so that OFV of the global minimum is not needed. Then, we apply the improved DM to more proper benchmark problems which are created by recommended methods in [9]. Through several numerical simulations, we confirm that improved DM is generally effective for proper benchmark problems. This result suggests that improved DM is effective in general situations.

ホスト出版物のタイトル2006 SICE-ICASE International Joint Conference
出版ステータスPublished - 2006 12月 1
イベント2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
継続期間: 2006 10月 182006 10月 21


名前2006 SICE-ICASE International Joint Conference


Other2006 SICE-ICASE International Joint Conference
国/地域Korea, Republic of

ASJC Scopus subject areas

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


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