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基于神经网络的多目标演化优化方法 被引量:2
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作者 钟守楠 钟良 蔡晓芬 《数学杂志》 CSCD 北大核心 2002年第4期453-458,共6页
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 .
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
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Parameter optimization of electric bus transmission system based on dynamical evolutionary algorithm
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作者 王文伟 Zhu +2 位作者 Cheng Lin Cheng 《High Technology Letters》 EI CAS 2010年第1期29-33,共5页
The transmission ratio is the key parameters influence power performance and economic performance of electric vehicle (EV). As a class of heuristic algorithms, Dynamical Evolutionary Algorithm (DEA) is suitable to... The transmission ratio is the key parameters influence power performance and economic performance of electric vehicle (EV). As a class of heuristic algorithms, Dynamical Evolutionary Algorithm (DEA) is suitable to solve multi-objective optimization problems. This paper presents a new method to optimize the transmission ratio using DEA. The fuzzy constraints and objective function of transmission ratio are established for parameter optimization problem of electric bus transmission. DEA is used to solve the optimiza- tion problem. The transmission system is also designed based on the optimization result. Optimization and test results show that the dynamical evolutionary algorithm is an effective method to solve transmission parameter optimization problems. 展开更多
关键词 transmission system parameter optimization dynamical evolutionary algorithm (DEA) electric bus
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