A hybrid assembly sequence planning approach based on discrete particle swarm optimization and evolutionary direction operation

2013 ◽  
Vol 68 (1-4) ◽  
pp. 617-630 ◽  
Author(s):  
Mingyu Li ◽  
Bo Wu ◽  
Youmin Hu ◽  
Chao Jin ◽  
Tielin Shi
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Assembly Sequence Planning ◽  
Assembly Sequence ◽  
Hybrid Assembly ◽  
Discrete Particle Swarm Optimization ◽  
Swarm Optimization ◽  
Discrete Particle ◽  
Sequence Planning ◽  
Planning Approach

A Binary Particle Swarm Optimization Approach to Optimize Assembly Sequence Planning

2012 ◽  
Vol 13 (1) ◽  
pp. 732-738 ◽  
Author(s):  
Jameel A. A. Mukred ◽  
Zuwairie Ibrahim ◽  
Ismail Ibrahim ◽  
Asrul Adam ◽  
Khairunizam Wan ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Assembly Sequence Planning ◽  
Binary Particle Swarm Optimization ◽  
Optimization Approach ◽  
Assembly Sequence ◽  
Swarm Optimization ◽  
Sequence Planning

An Particle Swarm Optimization Approach for Assembly Sequence Planning

2009 ◽  
Vol 16-19 ◽  
pp. 1228-1232 ◽  
Author(s):  
Hong Yu ◽  
Jia Peng Yu ◽  
Wen Lei Zhang
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Optimization Techniques ◽  
Assembly Sequence Planning ◽  
Assembly Planning ◽  
Optimization Approach ◽  
Assembly Sequence ◽  
Swarm Optimization ◽  
Sequence Planning

Assembly sequence planning (ASP) is the foundation of the assembly planning which plays a key role in the whole product life cycle. Although the ASP problem has been tackled via a variety of optimization techniques, the particle swarm optimization (PSO) algorithm is scarcely used. This paper presents a PSO algorithm to solve ASP problem. Unlike generic versions of particle swarm optimization, the algorithm redefines the particle's position and velocity, and operation of updating particle positions. In order to overcome the problem of premature convergence, a new study mechanism is adopted. The geometrical constraints, assembly stability and the changing times of assembly directions are used as the criteria for the fitness function. To validate the performance of the proposed algorithm, a 29-component product is tested by this algorithm. The experimental results indicate that the algorithm proposed in this paper is effective for the ASP.

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