[1]GUO Liping,LI Xiangtao,GU Wenxiang,et al.An improved firefly algorithm for the blocking flow shop scheduling problem[J].CAAI Transactions on Intelligent Systems,2013,8(1):33-38.[doi:10.3969/j.issn.1673-4785.201205012]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
8
Number of periods:
2013 1
Page number:
33-38
Column:
学术论文—智能系统
Public date:
2013-03-25
- Title:
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An improved firefly algorithm for the blocking flow shop scheduling problem
- Author(s):
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GUO Liping 1; LI Xiangtao 1; GU Wenxiang 1; 2 ; YIN Minghao 1
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1. Department of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China;
2. Department of Basic Subjects Teaching, Changchun Architecture & Civil Engineering College, Changchun 130607, China
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- Keywords:
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blocking flow shop scheduling problem; firefly algorithm; discrete mechanism; NEH heuristic method; local search
- CLC:
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TP301.6
- DOI:
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10.3969/j.issn.1673-4785.201205012
- Abstract:
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In order to improve the solving performance of the blocking flow shop scheduling problem, the researcher proposes to examine an improved firefly algorithm. Firstly, a discrete mechanism was proposed to convert the real coded form of individuals to discrete job sequences, so that the algorithm could be used to deal with discrete problems. Secondly, a doubleinitialization method was designed and the NEH (Nawaz Enscore Ham) heuristic method was applied to the initialization, which provided a superior initial environment and improved the quality of the solution of the initial population. In addition, the research paper focused on redesigning the movement pattern of individuals to enhance the search space. Finally, a local search algorithm was applied to individuals with a certain probability, for the purpose of enhancing the ability to search locally. The improved firefly algorithm was then tested utilizing the Taillard datasets, and the results verified the effectiveness of the new algorithm.