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A decomposition based estimation of distribution algorithm for multiobjective knapsack problems

  • East China Normal University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Multiobjective knapsack problems (MOKPs) are useful for both theoretical studies and practical applications. This paper proposes a novel algorithm, named multiobjective estimation of distribution algorithm based on decomposition (MEDA/D), for dealing with MOKPs. In MEDA/D, a probabilistic model based offspring reproduction operator is incorporated into the multiobjective evolutionary algorithm based on decomposition (MOEA/D). The population is maintained by the MOEA/D framework and new solutions are sampled from the probabilistic models. MEDA/D is applied to a set of test instances and compared with an MOEA/D with generic crossover/mutation operators. The statistical results show that the new approach is promising for dealing with MOKPs.

源语言英语
主期刊名Proceedings - 2012 8th International Conference on Natural Computation, ICNC 2012
803-807
页数5
DOI
出版状态已出版 - 2012
活动2012 8th International Conference on Natural Computation, ICNC 2012 - Chongqing, 中国
期限: 29 5月 201231 5月 2012

出版系列

姓名Proceedings - International Conference on Natural Computation
ISSN(印刷版)2157-9555

会议

会议2012 8th International Conference on Natural Computation, ICNC 2012
国家/地区中国
Chongqing
时期29/05/1231/05/12

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