به کارگیری الگوریتم جستجوی پراکنده مبتنی بر روش Topsis در طراحی سیستم تولید سلولی چند هدفه

This paper presents a multi-objective cell formation problem considering alternative process routes and machine utilization. Three conflicting objectives, namely 1) minimizing the total cost consisting inter-cell movements, procurement, operation and maintenance 2) maximizing the total machine utilization in the manufacturing system 3) minimizing the deviation levels between the cell utilization (i.e., balancing the workload between cells) are considered. Since this problem is NP-hardness, a multi-objective scatter search (MOSS) method based on TOPSIS is designed in order to find locally Pareto-optimal frontier. To demonstrate the efficiency of the proposed MOSS, a number of test problems are solved and the related results are compared with the well-known multi-objective genetic algorithm, called NSGA-II, based on some quality measures. The computational results indicate the superiority of the proposed MOSS compared to the foregoing NSGA-II.