Assembly sequence planning based on adaptive gravitational search algorithm

Aiming at the assembly sequence planning (ASP) of complex products, the evaluation system for the geometric feasibility, priority constraint, aggregation, redirection, and stability of the assembly sequence was considered. An assembly sequence planning method based on adaptive gravitational search a...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2021-08, Vol.115 (11-12), p.3689-3700
Main Authors: Gao, Bo, Zhang, Shichao, Sun, Hao, Ma, Chengwu
Format: Article
Language:English
Subjects:
Adaptive algorithms
Adaptive search techniques
Algorithms
Assembly
CAE) and Design
Coding
Computer-Aided Engineering (CAD
Engineering
Industrial and Production Engineering
Mechanical Engineering
Media Management
Multinational space ventures
Optimization
Original Article
Search algorithms
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Summary:Aiming at the assembly sequence planning (ASP) of complex products, the evaluation system for the geometric feasibility, priority constraint, aggregation, redirection, and stability of the assembly sequence was considered. An assembly sequence planning method based on adaptive gravitational search algorithm (AGSA) is proposed. It includes building a mathematical model of algorithm optimization and the coding of assembly products based on the ASP problem. The reverse learning (RL) method is used to initialize the coding product to expand the search range of the initial population, and a new non-repeating exchange (NRE) rule is established to obtain a reasonable optimal value. At the same time, the dynamic adaptive adjustment coefficient (AAC) is used to accelerate the convergence and realize the dynamic adjustment of the assembly sequence until the optimal assembly sequence is obtained. Finally, two examples are given to verify the assembly sequence planning method based on the AGSA, and the superiority of this method is verified by comparing with other algorithms.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-021-07241-w