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检索条件"主题词=Non-linear function optimization"
4 条 记 录,以下是1-10 订阅
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A cooperative particle swarm optimizer with migration of heterogeneous probabilistic models
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SWARM INTELLIGENCE 2010年 第1期4卷 57-89页
作者: El-Abd, Mohammed Kamel, Mohamed S. Univ Waterloo ECE Dept Waterloo ON N2L 3G1 Canada
Particle Swarm optimization (PSO) is a stochastic optimization approach that originated from simulations of bird flocking, and that has been successfully used in many applications as an optimization tool. Estimation o... 详细信息
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Particle Swarm optimization with Adaptive Bounds
Particle Swarm Optimization with Adaptive Bounds
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IEEE Congress on Evolutionary Computation (CEC)
作者: El-Abd, Mohammed Kamel, Mohamed S. Amer Univ Kuwait Engn & Sci Div Engn & Sci Div Kuwait Kuwait Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada
Particle Swarm optimization (PSO) is a stochastic optimization approach that originated from early attempts to simulate the behavior of birds looking for food. Estimation of distributions algorithms (EDAs) are a class... 详细信息
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Factors governing the behavior of multiple cooperating swarms
Factors governing the behavior of multiple cooperating swarm...
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Genetic and Evolutionary Computation Conference
作者: El-Abd, Mohammed Kamel, Mohamed Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada
This paper investigates the idea of having multiple swarms working separately and cooperating with each other to solve an optimization problem. Many factors that influence the behavior of this approach haven't bee... 详细信息
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Factors governing the behavior of multiple cooperating swarms  05
Factors governing the behavior of multiple cooperating swarm...
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Proceedings of the 7th annual conference on Genetic and evolutionary computation
作者: Mohammed El-Abd Mohamed Kamel University of Waterloo Waterloo ON Canada
This paper investigates the idea of having multiple swarms working separately and cooperating with each other to solve an optimization problem. Many factors that influence the behavior of this approach haven't bee... 详细信息
来源: 评论