关键词: 可信性理论, 闭环物流, 模糊规划, Memetic算法, 网络规划

Abstract: Considering the fuzziness of multi-level logistics network parameters and the decision-making of facility location and inter-facility flow,and aiming at minimizing the total cost of logistics network,a closed-loop logistics network fuzzy rule with fuzziness objectives and constraints was constructed by using the method of expectation planning and chance-constrained programming based on credibility theory.According to the characteristics of the problem,a code based on bi-level priority encoding Memetic algorithm was wrote in MATLAB.By using the Memetic algorithm,Genetic algorithm and LINGO,the results of several numerical examples were compared and analyzed.The result verified the feasibility of the proposed Memetic algorithm,and the analysis included the variation of confidence level showed that the fuzzy programming model was applicable.

Key words: credibility theory, closed loop logistics, fuzzy programming, Memetic algorithm, network design