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Fireworks Explosion Algorithm for Hybrid Flow Shop Scheduling and Optimization Problem1
Dong XT(董晓婷)1; Liu, Changming1; Han ZH(韩忠华)2
Department数字工厂研究室
Conference Name2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation, AMIMA 2018
Conference DateMay 23-26, 2018
Conference PlaceChina
Author of SourceNanjing University of Information Science and Technology ; University of Information Technology
Source PublicationIOP Conference Series: Materials Science and Engineering
PublisherIOP
Publication PlaceBristol, UK
2018
Pages2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation - 2. Modeling, Analysis, Simulation and Scheduling of Manufacturing Processes
Indexed ByEI
EI Accession number20183105622484
Contribution Rank2
ISSN1757-8981
Abstract

fireworks explosion algorithm is a relatively new population intelligent evolution algorithm, having a good performance in local mining and global search for optimal solution while little weak in searching speed. Therefore, this study focus on researching how to use the fireworks explosion algorithm(FEA) to deal with hybrid flow shop scheduling and optimization problem effectively both in accuracy and speed. The main contribution of this study is to develop a new firework individual encoding and decoding methods which could help FEA to solve HFS problem easily and effectively. Several practical instances testing proved that the FEA algorithm has better performance in dealing with HFS problem than GA and CS algorithm.

Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/22365
Collection数字工厂研究室
Corresponding AuthorDong XT(董晓婷)
Affiliation1.Department of Electrical Engineering, Sichuan College of Architectural Technology, De'yang, Sichuan 618000, China
2.Department of Digital Factory, Shenyang Institute of Automation, Chinese Academy of Sciences, Liaoning, Shenyang 110016, China
Recommended Citation
GB/T 7714
Dong XT,Liu, Changming,Han ZH. Fireworks Explosion Algorithm for Hybrid Flow Shop Scheduling and Optimization Problem1[C]//Nanjing University of Information Science and Technology, University of Information Technology. Bristol, UK:IOP,2018:2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation - 2. Modeling, Analysis, Simulation and Scheduling of Manufacturing Processes.
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