中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Swarm-based intelligent optimization approach for layout problem.

文献类型:期刊论文

作者Zhao, Fengqiang ;  Li, Guangqiang ;  Zhang, Rubo ;  Du, Jialu ;  Guo, Chen ;  Zhou, Yiran ;  Lv, Zhihan
刊名MULTIMEDIA TOOLS AND APPLICATIONS
出版日期2017
文献子类期刊论文
英文摘要Layout problem is a kind of NP-Complete problem. It is concerned more and more in recent years and arises in a variety of application fields such as the layoutdesign of spacecraft modules, plant equipment, platforms of marine drilling well, shipping, vehicle and robots. The algorithms based on swarm intelligence are considered powerful tools for solving this kind of problems. While usually swarm intelligence algorithms also have several disadvantages, including premature and slow convergence. Aiming at solving engineering complex layout problems satisfactorily, a new improved swarm-based intelligent optimization algorithm is presented on the basis of parallel genetic algorithms. In proposed approach, chaos initialization and multi-subpopulation evolution strategy based on improved adaptive crossover and mutation are adopted. The proposed interpolating rank-based selection with pressure is adaptive with evolution process. That is to say, it can avoid early premature as well as benefit speeding up convergence of later period effectively. And more importantly, proposed PSO update operators based on different versions PSO are introduced into presented algorithm. It can take full advantage of the outstanding convergence characteristic of particle swarm optimization (PSO) and improve the global performance of the proposed algorithm. An example originated from layout of printed circuit boards (PCB) and plant equipment shows the feasibility and effectiveness of presented algorithm.
URL标识查看原文
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/12482]  
专题深圳先进技术研究院_数字所
作者单位MULTIMEDIA TOOLS AND APPLICATIONS
推荐引用方式
GB/T 7714
Zhao, Fengqiang , Li, Guangqiang , Zhang, Rubo ,et al. Swarm-based intelligent optimization approach for layout problem.[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2017.
APA Zhao, Fengqiang ., Li, Guangqiang ., Zhang, Rubo ., Du, Jialu ., Guo, Chen .,...& Lv, Zhihan.(2017).Swarm-based intelligent optimization approach for layout problem..MULTIMEDIA TOOLS AND APPLICATIONS.
MLA Zhao, Fengqiang ,et al."Swarm-based intelligent optimization approach for layout problem.".MULTIMEDIA TOOLS AND APPLICATIONS (2017).

入库方式: OAI收割

来源:深圳先进技术研究院

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