人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
論文
独立制約充足による最適化と送水制御への適用
池田 心青木 圭長岩 明弘小林 重信
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2004 年 19 巻 1 号 p. 38-46

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Most of real world problems contain complex and various constraints, and the penalty depending on the degree of violation is often used to handle them. However, two objectives, to reduce the violation and to optimize the primary value, are inherently oppositive. Therefore, using additive penalty method (APM) often leads the fatal compromise to a solution with bad primary objective value in return for no violation. In this paper, we employ separated constraint satisfaction (SCS), to deal these two objectives independently like as a multi-objective optimization. The efficiency of SCS is shown on a simple benchmark and the sewerage system control problem.

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© 2004 JSAI (The Japanese Society for Artificial Intelligence)
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