| 面向拆卸线平衡的维度学习多目标粒子群优化 |
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| 引用本文： | 肖闪丽,王宇嘉,于慧.面向拆卸线平衡的维度学习多目标粒子群优化[J].电子科技,2018,31(3):5. |
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| 作者姓名： | 肖闪丽 王宇嘉 于慧 |
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| 作者单位： | 上海工程技术大学电子电气工程学院 |
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| 摘 要： | 针对拆卸线平衡问题的复杂度随着产品拆卸的零部件数量的增多而增加的问题，提出了一种基于维度学习的多目标粒子群优化算法。根据拆卸线平衡问题的特性，构建包含四个决策目标的拆卸线平衡问题的数学模型，并根据模型特点，建立粒子位置与拆卸序列之间的映射关系，利用粒子位置的更新来获得最优拆卸序列。通过对不同规模的拆卸线平衡问题的求解，验证了本文所提算法的有效性及可行性。
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| 关 键 词： | 拆卸线平衡 粒子群算法 多目标优化 拆卸序列 |
Multi-Objective Particle Swarm Optimization Based on Dimensional Learning forSolving the Disassembly Line Balancing Problem |
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| XIAO Shan-Li,WANG Yu-Jia,XU Hui.Multi-Objective Particle Swarm Optimization Based on Dimensional Learning forSolving the Disassembly Line Balancing Problem[J].Electronic Science and Technology,2018,31(3):5. |
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| Authors: | XIAO Shan-Li WANG Yu-Jia XU Hui |
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| Affiliation: | School of Electronic and Electrical Engineering, Shanghai University of Engineering Science |
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| Abstract: | Focus on the complexity of disassembly line balancing problem （DLBP） increases with the number of parts of the product, a multi-objective particle swarm optimization based on dimensional learning （DL-MOPSO） is proposed. Firstly, the mathematical model of DLBP with four decision objectives is constructed based on the characteristics of DLBP. Then according to the mapping relation between particle position and disassembly sequence, the optimal disassembly sequence is obtained by updating the positions of the particles. Finally, the results from testing in using series of instances with different size verify the effect of proposed algorithm. |
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| Keywords: | disassembly line balancing particle swarm optimization （PSO） multi-objective optimization the disassembly sequence |
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