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  • 标题:Non-Dominated Sorting Genetic Algorithm to inegrated model for R&D members selection
  • 本地全文:下载
  • 作者:Gholamhossein Nikookar ; Yaser Alidadi Nakhlestani ; Mohammad Mahdavi
  • 期刊名称:Industrial Management
  • 印刷版ISSN:2008-5885
  • 电子版ISSN:2423-5369
  • 出版年度:2015
  • 卷号:6
  • 期号:2
  • 页码:385-410
  • 出版社:University of Tehran Electronic Journals Database
  • 摘要:An alternative for decreasing risk for knowledge workers is effective & optimized work break.Major performance criteria in R&D based organization is successful projects. Selection of opproporiate members can be a most effect on the projects achievement. But as the selection of R&D special members lead to decrease of risk, repeatative participation of this people in the same project lead to knowledge concentration and achieve organization with serios risks. Therefore attendance to knowledge and quality project angles is important to selection of R&D teams members. In this study, we developed a model based on Non-Dominated Sorting Genetic Algorithm.
  • 关键词:Research and Development Team;Member Selection;Knowledge management;Multi; objective Decision Making;Non; dominated sorting genetic algorithm
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