An assembly sequence planning approach with a discrete particle swarm optimization algorithm

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 corres...

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Bibliographic Details
Published inInternational journal of advanced manufacturing technology Vol. 50; no. 5-8; pp. 761 - 770
Main Authors Lv, HongGuang, Lu, Cong
Format Journal Article
LanguageEnglish
Published London Springer-Verlag 01.09.2010
Springer Nature B.V
Subjects
Algorithms
Assembly
CAE) and Design
Computer-Aided Engineering (CAD
Engineering
Evolutionary algorithms
Industrial and Production Engineering
Mechanical Engineering
Media Management
Original Article
Particle swarm optimization
Discrete particle swarm optimization
Multi-objective optimization
Assembly sequence planning
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Summary: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.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-010-2519-4