An Improved Shuffled Frog Leaping Algorithm for Assembly Sequence Planning of Remote Handling Maintenance in Radioactive Environment

Assembly sequence planning (ASP) of remote handling maintenance in radioactive environment is a combinatorial optimization problem. This study proposes an improved shuffled frog leaping algorithm (SFLA) for the combinatorial optimization problem of ASP. An ASP experiment is conducted to verify the f...

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Bibliographic Details
Published in:Science and technology of nuclear installations 2015-01, Vol.2015 (2015), p.1-14
Main Authors: Zhang, Zhicong, Jia, Xuejun, Wang, Song, Sun, Zhenzhong, Tang, Hong, Guo, Jianwen, Chen, Haibin
Format: Article
Language:English
Subjects:
Adaptive algorithms
Algorithms
Anura
Assembly
Assembly lines
Colleges & universities
Combinatorial analysis
Frogs
Genetic algorithms
Heuristic
Human error
Maintenance
Nuclear power plants
Optimization
Optimization algorithms
Optimization techniques
Remote handling
Robots
Science
Swarm intelligence
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Description
Summary:Assembly sequence planning (ASP) of remote handling maintenance in radioactive environment is a combinatorial optimization problem. This study proposes an improved shuffled frog leaping algorithm (SFLA) for the combinatorial optimization problem of ASP. An ASP experiment is conducted to verify the feasibility and stability of the improved SFLA. Simultaneously, the improved SFLA is compared with SFLA, genetic algorithm, particle swarm optimization, and adaptive mutation particle swarm optimization in terms of efficiency and capability of locating the best global assembly sequence. Experiment results show that the proposed algorithm exhibits outstanding performance in solving the ASP problem. The application of the proposed algorithm should increase the level of ASP in a radioactive environment.
ISSN:1687-6075
1687-6083
DOI:10.1155/2015/516470