Memes co-evolution strategies for fast convergence in solving single machine scheduling problems

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	Memes co-evolution strategies for fast convergence in solving single machine scheduling problems
	Huang, Wei-Hsiu ; Chang, Pei-Chann ; Lim, Meng-Hiot ; Zhang, Zhenzhen ; Zhang ZZ(张真真)
刊名	http://dx.doi.org/10.1080/00207543.2011.649799
	2012
关键词	MINIMIZE TOTAL TARDINESS ALGORITHM DIVERSIFICATION INTENSIFICATION OPTIMIZATION HEURISTICS RULE
英文摘要	In recent years, researchers have become more aware of the significance and importance of memes in computational problem-solving. It is now generally accepted that collectively, memes as a group or population undergo evolution just like genes, competition and collaboration. In this paper, we present a memes co-evolutionary framework for solving the single machine total weighted tardiness problem. The mechanisms of memes co-evolution serve to promote diversity not just in the solutions, but also within the memes that participate in the search. Our results show convincingly that the memes co-evolution strategies are able to improve the performance in solving several difficult benchmarks of weighted tardiness single-machine scheduling problems.
语种	英语
出版者	INT J PROD RES
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/92366]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	Huang, Wei-Hsiu,Chang, Pei-Chann,Lim, Meng-Hiot,et al. Memes co-evolution strategies for fast convergence in solving single machine scheduling problems[J]. http://dx.doi.org/10.1080/00207543.2011.649799,2012.
APA	Huang, Wei-Hsiu,Chang, Pei-Chann,Lim, Meng-Hiot,Zhang, Zhenzhen,&张真真.(2012).Memes co-evolution strategies for fast convergence in solving single machine scheduling problems.http://dx.doi.org/10.1080/00207543.2011.649799.
MLA	Huang, Wei-Hsiu,et al."Memes co-evolution strategies for fast convergence in solving single machine scheduling problems".http://dx.doi.org/10.1080/00207543.2011.649799 (2012).