机械工程学报
機械工程學報
궤계공정학보
CHINESE JOURNAL OF MECHANICAL ENGINEERING
2015年
2期
183-189
,共7页
李大双%张超勇%邵新宇%袁彪%唐秋华
李大雙%張超勇%邵新宇%袁彪%唐鞦華
리대쌍%장초용%소신우%원표%당추화
双边装配线%多约束%殖民竞争算法%延迟接受爬山算法
雙邊裝配線%多約束%殖民競爭算法%延遲接受爬山算法
쌍변장배선%다약속%식민경쟁산법%연지접수파산산법
two-sided assembly line%multiple constraints%colonial competitive algorithm%late acceptance hill-climbing
针对实际生产中双边装配线平衡问题(Two-sided assembly line balancing problem, TALBP)所特有的操作方位约束、优先顺序约束、位置约束、区域约束、同步约束,介绍各个约束的特点及其对任务分配的要求,建立相应的数学模型。根据数学模型,设计相应的殖民竞争算法。在该算法中,对于不符合优先顺序约束的任务系列,提出二叉树调整方法,使任务分配仅在可行解空间内进行,提高了优化效率。将殖民竞争算法(Colonial competitive algorithm, CCA)的全局搜索能力与延迟接受爬山(Late acceptance hill-climbing, LAHC )算法的局部搜索能力有机结合,提出一种新型的混合殖民竞争算法,求解第 I类平衡问题。通过多个算例测试验证了算法的有效性。
針對實際生產中雙邊裝配線平衡問題(Two-sided assembly line balancing problem, TALBP)所特有的操作方位約束、優先順序約束、位置約束、區域約束、同步約束,介紹各箇約束的特點及其對任務分配的要求,建立相應的數學模型。根據數學模型,設計相應的殖民競爭算法。在該算法中,對于不符閤優先順序約束的任務繫列,提齣二扠樹調整方法,使任務分配僅在可行解空間內進行,提高瞭優化效率。將殖民競爭算法(Colonial competitive algorithm, CCA)的全跼搜索能力與延遲接受爬山(Late acceptance hill-climbing, LAHC )算法的跼部搜索能力有機結閤,提齣一種新型的混閤殖民競爭算法,求解第 I類平衡問題。通過多箇算例測試驗證瞭算法的有效性。
침대실제생산중쌍변장배선평형문제(Two-sided assembly line balancing problem, TALBP)소특유적조작방위약속、우선순서약속、위치약속、구역약속、동보약속,개소각개약속적특점급기대임무분배적요구,건립상응적수학모형。근거수학모형,설계상응적식민경쟁산법。재해산법중,대우불부합우선순서약속적임무계렬,제출이차수조정방법,사임무분배부재가행해공간내진행,제고료우화효솔。장식민경쟁산법(Colonial competitive algorithm, CCA)적전국수색능력여연지접수파산(Late acceptance hill-climbing, LAHC )산법적국부수색능력유궤결합,제출일충신형적혼합식민경쟁산법,구해제 I류평형문제。통과다개산례측시험증료산법적유효성。
In view of the special constraints such as operational direction constraint, precedence constraint, positional constraint, zoning constraint and synchronous constraint in the two-sided assembly line balancing problem, the characteristics of every constraint and the special requirements of task assignment are analyzed, and the corresponding mathematical model is built. A colonial competitive algorithm is proposed according to the model. To make every task sequence meet the precedence constraint, the binary tree adjustment algorithm is proposed. The efficiency of assigning the task only in the feasible solution space is improved. The LAHC algorithm is added in the algorithm as a local search algorithm, to improve the global search of the algorithm. Experiments are carried out to demonstrate the performance of the proposed method.