An Improved Shuffled Frog Leaping Algorithm for Assembly Sequence Planning of Remote Handling Maintenance in Radioactive Environment
Creators
- 1. School of Mechanical Engineering, Dongguan University of Technology, Dongguan 523808, China
- 2. Dongguan Neutron Science Center, Dongguan 523890, China
- 3. College of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510641, China
- 4. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
Description
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.
Files
10.1155_2015_516470.pdf
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Additional details
Identifiers
- DOI
- 10.1155/2015/516470;
- Crossref Funder ID
- 10.13039/501100001809;
Publishing Information
- Journal Title
- Science and Technology of Nuclear Installations
- Journal Volume
- 2015
- Journal Page Range
- 1-14
- ISSN
- 1687-6075
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING; S42: ENGINEERING;
- Descriptors DEI
- ADAPTIVE SYSTEMS; ARTIFICIAL INTELLIGENCE; COMPARATIVE EVALUATIONS; DATA VISUALIZATION; DATA-FLOW PROCESSING; EFFICIENCY; ENVIRONMENT; GENETIC ALGORITHMS; LOCAL AREA NETWORKS; MAINTENANCE; MEMORY MANAGEMENT; OPTIMIZATION; PARTICLES; PERFORMANCE; PLANNING; UNMANNED AERIAL VEHICLES
- Descriptors DEC
- AIRCRAFT; ALGORITHMS; COMPUTER NETWORKS; COMPUTERIZED CONTROL SYSTEMS; CONTROL SYSTEMS; DATA ANALYSIS; DATA PROCESSING; EVALUATION; MATHEMATICAL LOGIC; ON-LINE CONTROL SYSTEMS; ON-LINE SYSTEMS; PROCESSING; PROGRAMMING
Optional Information
- Copyright
- © Author(s)
- Contract/Grant/Project number
- 71201026, 2013KJCX0179, 2014KTSCX184, 2014KGJHZ014, Yq2013156, ZD120512, 2013108101011, 2014106101007
- Notes
- Record automatically processed
- Funding organization
- National Natural Science Foundation of China, Project of the Department of Education of Guangdong Province, Development Program for Excellent Young Teachers in Higher Education Institutions of Guangdong Province, China Spallation Neutron Source Electromechanical Technology R&D Joint Laboratory Foundation, Dongguan Social Science and Technology Development Project, Dongguan Universities and Scientific Research Institutions Science and Technology Project