Using multi-objective genetic algorithm for partner selection in green supply chain problems

摘要: Partner selection is an important issue in the supply chain management. Since environment protection has been of concern to public recent years, and traditional supplier did not consider about this factor; therefore, paper introduced green criteria into framework criteria. The aim research was develop optimum mathematical planning model for partner selection, which involved four objectives such as cost, time, product quality appraisal score. In order solve these conflicting objectives, we adopted two multi-objective genetic algorithms find set Pareto-optimal solutions, utilized weighted sum approach that can generate more number solutions. experimental analysis, a {4,4,4,4} network structure, compared average solutions CPU times algorithms.