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Greedy continuous particle swarm optimization algorithm for the knapsack problems

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成果类型:
期刊论文
作者:
Xianjun Shen;Yanan Li;Caixia Chen;Jincai Yang(杨进才);Dabin Zhang
通讯作者:
Zhang, D.(zdbff@yahoo.com.cn)
作者机构:
[Jincai Yang; Caixia Chen; Yanan Li; Xianjun Shen] Department of Computer Science, Central China Normal University, Wuhan, China
[Dabin Zhang] Department of Information Management, Central China Normal University, Wuhan, China
通讯机构:
Department of Information Management, Central China Normal University, China
语种:
英文
关键词:
knapsack problem;continuous PSO;particle swarm optimisation;greedy strategy;combinatorial optimisation;multi-state coding;data redundancy.
期刊:
International Journal of Computer Applications in Technology
ISSN:
0952-8091
年:
2012
卷:
44
期:
2
页码:
137-144
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
信息管理学院
摘要:
Knapsack problem is a classical combinatorial optimisation problem. This paper presents greedy continuous particle swarm optimisation (GCPSO) algorithm to solve the knapsack problem. First, the greedy strategy is introduced into the process of particles' initialisation based on standard particle swarm optimisation (SPSO). This strategy guarantees the particle swarm has a better beginning in a degree. Second, based on the analysis of the characteristics of the knapsack problem's solution space, and in terms of the binary code in evolutionary computation, the paper presents multi-state coding. T...

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