Particle swarm optimization combining diversification and intensification through complex networks for nonlinear programming problems
Particle swarm optimization combining diversification and intensification through complex networks for nonlinear programming problems
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DOI：
10.1109/scis-isis.2012.6505167
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发表时间：
2012-11
期刊：
影响因子：
--
通讯作者：
Takeshi Matsui;M. Sakawa
中科院分区：
文献类型：
--
作者：
Takeshi Matsui;M. Sakawa
针对非线性规划问题，提出了一种基于复杂网络概念的粒子群优化算法。本文的目的是阐明个体之间的网络结构对解决方案性能的影响。利用复杂网络的思想，提出了一种新的求解方法，实现了搜索过程的多样化和集约化。数值算例验证了该方法的可行性和有效性。
This paper presents a new particle swarm optimization method through the concept of complex networks for nonlinear programming problems. The purpose of this paper is to clarify the impact of the network structure between individuals on the solution performance. Realizing diversification and intensification of search processes, a new solution method using the ideas of complex networks is introduced. Illustrative numerical examples are provided to demonstrate the feasibility and efficiency of the proposed method.