Job shop scheduling using genetic algorithm incorporating priority rule

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  • 遺伝的アルゴリズムと優先規則を融合したジョブショップスケジューリング
  • – Learning the priority rule using neural network –
  • ―ニューラルネットワークによる優先規則の学習―

Abstract

<p>This paper deals with job shop scheduling problem with average weighted tardiness. An effective priority rule for this problem is constructed using a neural network. The neural network is learned from the input-output pairs obtained from schedules optimized using a genetic algorithm. Numerical experiments show that the neural network can generate better schedules than ATC rule which has three tuning parameters.</p>

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