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  • 标题:応答曲面法を用いた複数車種の同時最適化ベンチマーク問題の提案
  • 本地全文:下载
  • 作者:小平 剛央 ; 釼持 寛正 ; 大山 聖
  • 期刊名称:進化計算学会論文誌
  • 电子版ISSN:2185-7385
  • 出版年度:2017
  • 卷号:8
  • 期号:1
  • 页码:11-21
  • DOI:10.11394/tjpnsec.8.11
  • 出版社:The Japanese Society for Evolutionary Computation
  • 摘要:We propose two optimization benchmark problems with actual engineering design features of car-body structural development using response surface method. The first is a single-objective optimization problem of weight minimization. The second is the multi-objective optimization problem of weight minimization and number of common thickness parts maximization. These benchmark problems have key feature of real-world design problem, i.e. many variables and many constraint conditions. Furthermore, it is a discrete variable optimization problem. We present optimization results using multi-island genetic algorithm (single-objective optimization) and NSGA-II (multiobjective optimization). We also present optimization result of the benchmark problem where the discrete variables are treated as real variables. The benchmark problem is available on http://ladse.eng.isas.jaxa.jp/benchmark.
  • 关键词:many variables and constraints optimization;benchmark problem;response surface method;real-world problem
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