EVOLUTION ALGORITHM FOR OPTIMAL CAPACITY EXPANSION
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概要
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This paper presents an evolution algorithm for optimal capacity expansion problem which is related to determining when and how much capacity should be added under varying types of demand and cost. To avoid premature convergence and stalling of the evolutionary process, we employ an exponential-fitness scaling scheme. To improve the chromosomes, we introduce hetero-dimensional mutation which generates a new dimension and produces a feasible solution, and homo-dimensional mutation which mutates the chromosomes in the negative of gradient (subgradient) direction. Some numerical examples are provided to illustrate the effectiveness of the proposed evolution algorithm.
- 社団法人日本オペレーションズ・リサーチ学会の論文
著者
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Liu Baoding
Department Of Mathematical Sciences Tsinghua University
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Gen Mitsuo
Department Of Industrial & Information Systems Engineering Ashikaga Institute Of Technology
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Gen Mitsuo
Department Of Industrial And Systems Engineering Graudate School Of Engineering Ashikaga Institute O
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Lie Baoding
Department of Applied Mathematics Tsinghua University
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Gen Mitsuo
Department Of Industrial & Information Systems Engineering
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Liu Baoding
Department of Applied Mathematics Tsinghua University
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