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EVOLUTION ALGORITHM FOR OPTIMAL CAPACITY EXPANSION
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- Gen Mitsuo
- Department of Industrial and Systems Engineering Graudate School of Engineering Ashikaga Institute of Technology
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- Lie Baoding
- Department of Applied Mathematics Tsinghua University
Bibliographic Information
- Other Title
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- Evolution Algorithm for Optimal Capacit
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Description
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.
Journal
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- Journal of the Operations Research Society of Japan
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Journal of the Operations Research Society of Japan 40 (1), 1-9, 1997
The Operations Research Society of Japan
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Details 詳細情報について
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- CRID
- 1390282679086279552
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- NII Article ID
- 110001184474
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- NII Book ID
- AA00703935
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- ISSN
- 21888299
- 04534514
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- NDL BIB ID
- 4163567
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed