关键词: 遗传算法, 闭环物流, 模糊目标规划, 碳排放, 网络规划

Abstract: To solve the design of low-carbon closed-loop logistics network in fuzzy environment,by considering the problem of fuzziness,carbon emissions and response capability in the network,a fuzzy linear programming model of closed-loop logistics network was established for the decision of facilities combination the location and transportation routes between nodes.It used fuzzy goal programming method with different importance and priority to minimize the logistics cost and carbon emissions and maximize response ability.According to the characteristics of the problem,the code based on route coding genetic algorithm was written in MATLAB.By using the genetic algorithm and CPLEX,the several numerical examples' results were compared and analyzed,and the result verified the feasibility of the proposed genetic algorithm.The case verified the fuzzy goal programming model could solve the conflict betwee three objectives,and the analysis indicated the effectiveness and practicability of decision.

Key words: genetic algorithms, closed loop logistics, fuzzy goal programming, carbon emission, network planning