人工知能
Online ISSN : 2435-8614
Print ISSN : 2188-2266
人工知能学会誌(1986~2013, Print ISSN:0912-8085)
遺伝的アルゴリズムを用いた配管経路探索法の検討
伊藤 照明福田 収一
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解説誌・一般情報誌 フリー

1998 年 13 巻 5 号 p. 791-802

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The paper proposes a search method for pipe route planning using genetic algorithm incorporated with several heuristics. First, the basic principle of our method is presented using key ideas which include representation of pipe route for GA operations, spatial potential energy to cover design scenarios, fitness function, basic GA operations, coordinates conversion procedure, and route modification procedure using subgoal setting. In order to apply the method to actual problems and to solve them in a practical manner, the study employs various heuristics, which are concept of direction, generation of initial individuals using intermediate point, extended two-points crossover, and dynamic selection. Those heuristics are described separately and their effectiveness in our method is discussed. The paper also shows a prototype system which were developed based on our approach and discusses the validity of the proposed method.

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© 1998 人工知能学会
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