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  • 标题:SPEA-Based Method for MCDM Convex Integer Problems
  • 本地全文:下载
  • 作者:V. Guliashki ; L. Kirilov
  • 期刊名称:Cybernetics and Information Technologies
  • 印刷版ISSN:1311-9702
  • 电子版ISSN:1314-4081
  • 出版年度:2009
  • 卷号:9
  • 期号:4
  • 出版社:Bulgarian Academy of Science
  • 摘要:This paper presents a method, based on the Strength Pareto Evolutionary Algorithm (SPEA), designed to solve multi-objective convex integer optimization problems. The proposed method has the aim to overcome some shortcomings of SPEA, as noted in [2]. An interaction phase with the Decision Maker (DM) is also included in the method, so that the search process can be quickly directed to the part of the search space, where the location of a desired non-dominated solution is expected. In this manner good convergence of the method is ensured.
  • 关键词:Evolutionary multi-objective optimization; Multi-Criteria Decision;Making (MCDM); convex integer problems.
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