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  • 标题:Solution to the Social Portfolio Problem by Evolutionary Algorithms
  • 本地全文:下载
  • 作者:Gilberto Rivera ; Claudia Gómez ; Laura Cruz
  • 期刊名称:International Journal of Combinatorial Optimization Problems and Informatics
  • 印刷版ISSN:2007-1558
  • 电子版ISSN:2007-1558
  • 出版年度:2012
  • 卷号:3
  • 期号:2
  • 页码:21-30
  • 语种:English
  • 出版社:International Journal of Combinatorial Optimization Problems and Informatics
  • 其他摘要:The formation of project portfolio is a multi-objective problem that has a high impact on public and private organizations, and has generally been addressed by evolutionary algorithms. They often seek an approximation of the Pareto front, and then the decision maker must choose an only solution from the set. This is not a difficult task when you have to select a solution from a small set evaluated in two or three objectives. But when the set of solutions grows, or the number of objectives increases, the choice is often a complicated process. It is necessary to present the decision maker only the subset of the Pareto front according to your preferences. This paper describes an optimization algorithm that steers the search process towards such solutions. The performance of the algorithm is evaluated with respect to the most related algorithm found in the state of the art.
  • 关键词:Project portfolio; evolutionary algorithm; preferences; decision maker; multi-objective optimization
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