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作 者:许培玉 张则强[1,2] 管超 XU Peiyu;ZHANG Zeqiang;GUAN Chao(School of Mechanical Engineering,Southwest Jiaotong University,Chengdu 610031,China;Sichuan Provincial Key Laboratory of Technology and Equipment of Rail Transit Operation and Maintenance,Southwest Jiaotong University,Chengdu 610031,China)
机构地区:[1]西南交通大学机械工程学院,四川成都610031 [2]西南交通大学轨道交通运维技术与装备四川省重点实验室,四川成都610031
出 处:《计算机集成制造系统》2023年第7期2175-2190,共16页Computer Integrated Manufacturing Systems
基 金:国家自然科学基金资助项目(51205328,51675450);教育部人文社会科学研究青年基金资助项目(18YJC630255);四川省科技计划资助项目(2022YFG0245,2022YFG0241)。
摘 要:针对现有人机共站拆卸问题研究对任务间影响关系约束的不足,提出人机共站并行拆卸线平衡问题,以工作站开启数、空闲时间均衡指标、操作者总数和拆卸成本为优化目标,构建了其多目标混合整数规划模型。并提出一种混合教学优化算法求解,算法在原始教学优化算法的基础上融入自学操作和模拟退火操作,以保持种群多样性并避免算法陷入局部最优。应用数学规划软件LINGO精确求解所提问题的中小规模算例并与算法求解结果对比,验证了所建模型正确性与算法的有效性。最后,将所建模型与所提算法应用至大规模人机共站并行拆卸线实例中,通过与多种算法进行不同的对比试验,进一步验证了所提算法求解性能和求解质量的优越性。Aiming at the shortage of constraints on the relationship between tasks in the existing research on the disassembly problem of human-robot share workstation,the human-robot share workstation parallel disassembly line balancing problem was put forward,and its multi-objective mixed integer programming model was constructed with the optimization objectives of the number of workstations,the idle time balance index,the total number of operators and the disassembly cost.A hybrid teaching-learning based optimization algorithm was proposed,which integrated self-study operation and simulated annealing operation on the basis of the original Teaching-Learning Based Optimization(TLBO)algorithm to keep the diversity of population and avoid the algorithm falling into local optimum.The mathematical programming software LINGO was used to accurately solve the small and medium-sized examples of the human-robot share workstation parallel disassembly line balancing problem,and the results were compared with those of the hybrid TLBO algorithm to verify the correctness of the model and the effectiveness of the algorithm.The model and the algorithm were applied to solve the large-scale example of human-robot share workstation parallel disassembly line balancing problem.The superiority of the algorithm in solving performance and quality was further verified through different comparative experiments with various algorithms.
关 键 词:人机共站 并行拆卸线 教学优化算法 混合整数规划模型 多目标优化
分 类 号:TH165[机械工程—机械制造及自动化] TP301.6[自动化与计算机技术—计算机系统结构]
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