信息与控制2018，Vol.47Issue(6)：702-712,11.DOI:10.13976/j.cnki.xk.2018.7390
多约束能耗拆卸线平衡问题的改进果蝇模糊优化
Improved Fruit-fly Fuzzy Optimization Algorithm for Multi-constrained Disassembly-line Balancing Problem Considering Energy Consumption
摘要
Abstract
To solve the problem of wasting energy in actual disassembly lines, and considering the constraints of fixed position, repulsion, compatibility, and others, we propose a disassembly-line optimization model to minimize disassembly energy consumption, disassembly cost and the equilibrium index. By defining an objective membership function, we transform this multi-objective problem into a fuzzy comprehensive optimization problem with a maximum degree of satisfaction. We also design an improved discrete fruit-fly algorithm to generate a neighborhood solution. To perform the olfactory operation, we use a mutation method, and to perform the visual operation, we update the current solution by filtering the optimal neighborhood solution. We adopt the global cooperative search mechanism to improve the global search ability and adopt the improved simulated annealing mechanism to avoid getting into the local optimum. A comparison of the algorithms shows that the proposed algorithm has better performance. Finally, we apply the algorithm to solve TV disassembly examples, and obtain two kinds of disassembly schemes. The results further confirm the feasibility of the proposed method and model.关键词
多约束/能耗/模糊优化/改进果蝇算法/拆卸线平衡Key words
multi-constraint/energy consumption/fuzzy optimization/improved fruit-fly algorithm/disassembly line balance分类
机械制造引用本文复制引用
蔡宁,张则强,朱立夏,贾林..多约束能耗拆卸线平衡问题的改进果蝇模糊优化[J].信息与控制,2018,47(6):702-712,11.基金项目
国家自然科学基金资助项目(51205328, 51675450) （51205328, 51675450）
教育部人文社会科学研究青年基金资助项目(18YJC630255) （18YJC630255）
