期刊
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
卷 50, 期 5-8, 页码 761-770出版社
SPRINGER LONDON LTD
DOI: 10.1007/s00170-010-2519-4
关键词
Discrete particle swarm optimization; Assembly sequence planning; Multi-objective optimization
资金
- Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry
- Research Foundation from State Key Laboratory for Manufacturing Systems Engineering (Xi'an Jiaotong University)
- China Postdoctoral Science Foundation
In this paper, a discrete particle swarm optimization (DPSO) algorithm is proposed to solve the assembly sequence planning (ASP) problem. To make the DPSO algorithm effective for solving ASP, some key technologies including a special coding method of the position and velocity of particles and corresponding operators for updating the position and velocity of particles are proposed and defined. The evolution performance of the DPSO algorithm with different setting of control parameters is investigated, and the performance of the proposed DPSO algorithm to solve ASP is verified through a case study.
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