CAJ | 학술논문

针对柔性作业车间调度问题，选取三个性能指标作为求解目标。将蚁群算法与模糊属性权重结合在一起，提出了求解FJSP的新算法。该算法利用了蚁群算法的正反馈机制，在逐步构造解的过程中利用最优解信息和启发式信息增强全局求解能力，寻求各目标较好的全局最优解。采用模糊属性权重对各目标进行综合评价，最终求解出FJSP问题的最优解集。
침대유성작업차간조도문제，선취삼개성능지표작위구해목표。장의군산법여모호속성권중결합재일기，제출료구해FJSP적신산법。해산법이용료의군산법적정반궤궤제，재축보구조해적과정중이용최우해신식화계발식신식증강전국구해능력，심구각목표교호적전국최우해。채용모호속성권중대각목표진행종합평개，최종구해출FJSP문제적최우해집。
According to the characteristics of flexible job-shop scheduling problem, selecting three performance indexes as solving target, and combining ant colony algorithm with fuzzy attribute weight, it proposes a new algorithm to solve FJSP. This algorithm uses the positive feedback mechanism of ant colony algorithm, and takes advantage of optimal solution information and heuristic information to enhance global solving ability in process of gradual constructing solution, which is in order to seek better global optimal solution for each target. Then it applies fuzzy attribute weight to take comprehensive evaluation on each target which finally concludes the optimal solution set of FJSP.