EVOLUTION ALGORITHM FOR OPTIMAL CAPACITY EXPANSION

  • Gen Mitsuo
    Department of Industrial and Systems Engineering Graudate School of Engineering Ashikaga Institute of Technology
  • Lie Baoding
    Department of Applied Mathematics Tsinghua University

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  • Evolution Algorithm for Optimal Capacit

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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.

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