Optimal Robotic Assembly Sequence Generation Using Particle Swarm Optimization

2016 ◽  
Vol 4 (2) ◽  
pp. 89-95 ◽  
Author(s):  
M. V. A. Raju. Bahubalendruni ◽  
B. B. Biswal ◽  
B. B. V. L Deepak
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Robotic Assembly ◽  
Assembly Sequence ◽  
Swarm Optimization ◽  
Sequence Generation ◽  
Assembly Sequence Generation

A Discrete Particle Swarm Optimization Approach to Optimize the Assembly Sequence of Mechanical Product

2012 ◽  
Vol 490-495 ◽  
pp. 203-207
Author(s):  
Zhong Bo Zhang ◽  
Chuan Yong Huang
Keyword(s):  
Particle Swarm Optimization ◽  
Fitness Function ◽  
Particle Swarm ◽  
Assembly Sequence Planning ◽  
Optimization Approach ◽  
Assembly Sequence ◽  
Swarm Optimization ◽  
Discrete Pso ◽  
The Difference ◽  
Assembly Tool

The aim of assembly sequence planning (ASP) is to achieve the best assembly sequence which assembly cost and time used is less. The geometrical feasibility of an assembly sequence is validated by the interference matrix of the product. The number of assembly tool changes and the number of assembly operation type changes are considered in the fitness function. To establish the mapping relation between ASP and particle swarm optimization (PSO) approach, some definitions of position, velocity and operator of particles are proposed. The difference of the proposed discrete PSO (DPSO) algorithm with the other algorithm is the emphasis on the geometrical feasibility of the assembly sequence. The geometrical feasibility is verified at the first and the every iteration. The performance and feasibility of the proposed algorithm is verified via a simplified engine assembly case.

A Particle Swarm Algorithm for Assembly Sequence Planning

2010 ◽  
Vol 97-101 ◽  
pp. 3243-3246
Author(s):  
Yan Feng Xing ◽  
Yan Song Wang ◽  
Xiao Yu Zhao
Keyword(s):  
Particle Swarm ◽  
Tolerance Analysis ◽  
Assembly Sequence Planning ◽  
Particle Swarm Algorithm ◽  
Assembly Sequence ◽  
Sequence Generation ◽  
Assembly Sequences ◽  
Swarm Algorithm ◽  
Assembly Sequence Generation ◽  
Optimal Assembly

A particle swarm algorithm is proposed to generate optimal assembly sequences for compliant assemblies. Firstly, the liaison graph and the adjacency matrix describe the geometry of the compliant assemblies. An assembly sequence is represented by a character string, whose length is the number of all parts. The conceptual tolerance analysis is used to evaluate feasible sequences. Thereafter, the particle swarm algorithm is presented to generate assembly sequences, in which the elite ratio is applied to improve optimization results. Finally a fender assembly is used to illustrate the algorithm of assembly sequence generation and optimization.

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