A chemotaxis-enhanced bacterial foraging algorithm and its application in job shop scheduling problem

doi:10.1080/0951192X.2014.961962

	A chemotaxis-enhanced bacterial foraging algorithm and its application in job shop scheduling problem
	Zhao, Fuqing 1; Jiang, Xin 1; Zhang, Chuck 2; Wang, Junbiao 3
刊名	International Journal of Computer Integrated Manufacturing
	2015-10-03
卷号	28 期号:10 页码:1106-1121
关键词	Biochemistry Genetic algorithms Local search (optimization) Scheduling Bacterial foraging algorithm chemotaxis difference mutation Differential Evolution Hybrid optimization Job shop scheduling problems Local search operators Original algorithms
ISSN号	0951192X
DOI	10.1080/0951192X.2014.961962
英文摘要	In this article, a chemotaxis-enhanced bacterial foraging optimisation (CEBFO) is proposed to solve the job shop scheduling problem more effectively. The new approach, which is based on a new chemotaxis with the differential evolution (DE) operator added, aims at solving the tumble failure problem in the tumble step and accelerates the convergence speed of the original algorithm. The effectiveness of the new chemotaxis and the convergence are proved theoretically and tested in continuous problems. Furthermore, a local search operator was designed, which can improve the local search ability of novel algorithm greatly. Finally, the experiments were conducted on a set of 38 benchmark problems of job shop scheduling and the results demonstrated the outperformance of the proposed algorithm. © 2014 Taylor & Francis.
WOS研究方向	Computer Science ; Engineering ; Operations Research & Management Science
语种	英语
出版者	Taylor and Francis Ltd.
WOS记录号	WOS:000359744300007
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/150411]
专题	国际合作处（港澳台办）
作者单位	1.School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China; 2.H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta; GA, United States; 3.Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xian, China
推荐引用方式 GB/T 7714	Zhao, Fuqing,Jiang, Xin,Zhang, Chuck,et al. A chemotaxis-enhanced bacterial foraging algorithm and its application in job shop scheduling problem[J]. International Journal of Computer Integrated Manufacturing,2015,28(10):1106-1121.
APA	Zhao, Fuqing,Jiang, Xin,Zhang, Chuck,&Wang, Junbiao.(2015).A chemotaxis-enhanced bacterial foraging algorithm and its application in job shop scheduling problem.International Journal of Computer Integrated Manufacturing,28(10),1106-1121.
MLA	Zhao, Fuqing,et al."A chemotaxis-enhanced bacterial foraging algorithm and its application in job shop scheduling problem".International Journal of Computer Integrated Manufacturing 28.10(2015):1106-1121.