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基于神经网络的多目标演化优化方法 被引量:2

MULTIOBJECTIVE EVOLUTIONARY OPTIMIZATION METHOD BASED ON NEURAL NETWORKS
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摘要 本文考虑在决策者偏好不明确的条件下 ,使系统获得最优的思想 ,提出了多目标决策系统最优解的概念 .把前馈神经网络与演化算法相结合 ,用于多目标决策系统最优解的选取 .给出了有关定理的证明和示例 . In this paper, when decider's favours do not understand clearly, we consider the decision system obtains optimization, so that a system optimization solution concept of the multiobjective problem is presented. To make choice of system optimization solution, a neural evolutionary algorithm by means of feed forward neural networks and combining with evolutionary algorithm is presented. The theorenis are proved, and an example is shown.
出处 《数学杂志》 CSCD 北大核心 2002年第4期453-458,共6页 Journal of Mathematics
基金 国家自然科学基金资助项目 (70 1 71 0 1 6) 亚太运筹中心资助项目 中国科学院管理决策与信息系统开放研究室资助项目 .
关键词 多目标演化优化方法 神经网络 演化优化 系统最优解 neural network evolutionary optimization system optimization solution
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共引文献80

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  • 1刘三阳,于力,杨亚红.一类二层多目标规划的若干性质[J].运筹学学报,2006,10(3):126-128. 被引量:5
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