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Science and Technology of Nuclear Installations
Volume 2015, Article ID 516470, 14 pages
Research Article

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

1School of Mechanical Engineering, Dongguan University of Technology, Dongguan 523808, China
2Dongguan Neutron Science Center, Dongguan 523890, China
3College of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510641, China
4Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China

Received 2 October 2014; Revised 13 January 2015; Accepted 28 January 2015

Academic Editor: Massimo Zucchetti

Copyright © 2015 Jianwen Guo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.