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Hybrid particle swarm optimization with differential evolution and chaotic local search to solve reliability-redundancy allocation problems

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WOS被引频次:6
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成果类型:
期刊论文
作者:
Tan, Yue;Tan, Guan-Zheng;Deng, Shu-Guang
通讯作者:
Tan Guan-zheng
作者机构:
[Tan, Guan-Zheng; Tan, Yue] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China.
[Tan, Yue; Deng, Shu-Guang] Hunan City Univ, Sch Commun & Elect Engn, Yiyang 413000, Peoples R China.
通讯机构:
[Tan Guan-zheng] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China.
语种:
英文
关键词:
particle swarm optimization;differential evolution;chaotic local search;reliability-redundancy allocation
关键词(中文):
粒子群优化;局部搜索;分配问题;混合算法;差分进化;可靠性;混沌;冗余
期刊:
Journal of Central South University
期刊(中文):
中南大学学报(英文版)
ISSN:
2095-2899
年:
2013
卷:
20
期:
6
页码:
1572-1581
文献类别:
WOS:Article
所属学科:
ESI学科类别:材料科学;WOS学科类别:Metallurgy & Metallurgical Engineering
入藏号:
基金类别:
Project(20040533035) supported by the National Research Foundation for the Doctoral Program of Higher Education of China Project(60874070) supported by the National Natural Science Foundation of China
机构署名:
本校为其他机构
院系归属:
信息与电子工程学院
摘要:
In order to solve reliability-redundancy allocation problems more effectively, a new hybrid algorithm named CDEPSO is proposed in this work, which combines particle swarm optimization (PSO) with differential evolution (DE) and a new chaotic local search. In the CDEPSO algorithm, DE provides its best solution to PSO if the best solution obtained by DE is better than that by PSO, while the best solution in the PSO is performed by chaotic local search. To investigate the performance of CDEPSO, four typical reliability-redundancy allocation problems were solved and the results indicate that the convergence speed and robustness of CDEPSO is better than those of PSO and CPSO (a hybrid algorithm which only combines PSO with chaotic local search). And, compared with the other six improved meta-heuristics, CDEPSO also exhibits more robust performance. In addition, a new performance was proposed to more fairly compare CDEPSO with the same six improved meta-heuristics, and CDEPSO algorithm is the best in solving these problems.
参考文献:
MISRA K B, LJUBOJEVIC M D. Optimal reliability design of a system: A new look [J]. IEEE Transaction on Reliability, 1973, 22(5): 255–258.
LI D, SUN X L, MCKINNON K. An exact solution method for reliability optimization in complex systems [J]. Annals of Operations Research, 2005, 133(1/4): 129–148.
BILLIONNET A. Redundancy allocation for series-parallel systems using integer linear programming [J]. IEEE Transaction on Reliability, 2008, 57(3): 507–516.
AGARWAL M, GUPTA R. Penalty function approach in heuristic algorithms for constrained redundancy reliability optimization [J]. IEEE Transaction on Reliability, 2005, 54(3): 549–558.
HA C, KUO W. Multi-path approach for reliability-redundancy allocation using a scaling method [J]. Journal of Heuristics, 2005, 11(3): 201–217.

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