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Low dimensional simplex evolution: a new heuristic for global optimization
Luo ZT(罗长童); Yu B(于波); Luo, CT
Source PublicationJOURNAL OF GLOBAL OPTIMIZATION
2012
Volume52Issue:1Pages:45-55
ISSN0925-5001
AbstractThis paper presents a new heuristic for global optimization named low dimensional simplex evolution (LDSE). It is a hybrid evolutionary algorithm. It generates new individuals following the Nelder-Mead algorithm and the individuals survive by the rule of natural selection. However, the simplices therein are real-time constructed and low dimensional. The simplex operators are applied selectively and conditionally. Every individual is updated in a framework of try-try-test. The proposed algorithm is very easy to use. Its efficiency has been studied with an extensive testbed of 50 test problems from the reference (J Glob Optim 31:635-672, 2005). Numerical results show that LDSE outperforms an improved version of differential evolution (DE) considerably with respect to the convergence speed and reliability.
KeywordGlobal Optimization Heuristic Real-coded Evolutionary Algorithm Differential Evolution Low Dimensional Simplex Evolution Differential Evolution Algorithms Search
Subject Area空气动力学
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Indexed BySCI ; EI
Language英语
WOS IDWOS:000297653900003
Funding OrganizationThis research has been supported by the National Natural Science Foundation of China (Grants 10632090 and 90916028).
DepartmentLHD激波与爆轰物理
Classification二类/Q2
Citation statistics
Cited Times:14[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/46536
Collection高温气体动力学国家重点实验室
Corresponding AuthorLuo, CT
Recommended Citation
GB/T 7714
Luo ZT,Yu B,Luo, CT. Low dimensional simplex evolution: a new heuristic for global optimization[J]. JOURNAL OF GLOBAL OPTIMIZATION,2012,52(1):45-55.
APA Luo ZT,Yu B,&Luo, CT.(2012).Low dimensional simplex evolution: a new heuristic for global optimization.JOURNAL OF GLOBAL OPTIMIZATION,52(1),45-55.
MLA Luo ZT,et al."Low dimensional simplex evolution: a new heuristic for global optimization".JOURNAL OF GLOBAL OPTIMIZATION 52.1(2012):45-55.
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