A discrete particle swarm optimization algorithm for assembly sequence planning

In this paper, a discrete particle swarm optimization (DPSO) algorithm is proposed to solve assembly sequence planning (ASP) with the objective of minimizing the assembly costs and maintain the reliability of assembly process. To make DPSO algorithm suitable for solving ASP, special coding methods a...

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Bibliographic Details
Published in2009 8th International Conference on Reliability, Maintainability and Safety pp. 1119 - 1122
Main Authors Hongguang Lv, Cong Lu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Ant colony optimization
Application specific processors
assembly cost
assembly sequence planning
Birds
Cost function
multi-objective optimization
Particle swarm optimization
Process planning
Production planning
Robotic assembly
Robotics and automation
Technology planning
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Summary:In this paper, a discrete particle swarm optimization (DPSO) algorithm is proposed to solve assembly sequence planning (ASP) with the objective of minimizing the assembly costs and maintain the reliability of assembly process. To make DPSO algorithm suitable for solving ASP, special coding methods and position updating rules are proposed, and the effects caused by the changes of parameters in DPSO algorithm are also discussed. Finally, the performance of the proposed DPSO algorithm to solve ASP is verified through the numerical simulation.
ISBN:1424449030
9781424449033
DOI:10.1109/ICRMS.2009.5270057