【摘要】 针对日益增长的多样化回收服务需求，解决了多服务方式、多规模的回收连锁店选址优化问题。构建了建设与服务成本最小化和客户满意度最大化的回收连锁店双目标选址模型，并针对模型的具体特征，将交叉与变异算子和精英保留策略等与基本蘑菇繁殖算法相结合，设计了改进的蘑菇繁殖算法对模型求解。通过对某电子产品回收连锁店的选址优化实例，确定其服务方式和选址的数量、位置及规模。验证了模型的有效性和算法的可行性。同时，不同的服务方式及规模选择，对回收连锁店的选址有显著影响，企业相关决策者可通过合理提供不同服务来提升利润。更多还原

【Abstract】 In view of the growing demand for diversified recycling services, this paper solves the location problem of recycling chain stores with multi-service and multi-scale. A bi-objective location model of recycling chain stores was constructed to minimize construction and service costs and maximize customer satisfaction. According to the specific characteristics of the model, an improved mushroom reproduction optimization was designed to solve the model by combining the crossover and mutation operator and elitist preservation strategy. The algorithm determined the service modes and the number, location and scale of recycling chain stores through an example of location optimization of an electronics recycling chain store. Finally, the paper verified the effectiveness of the model and the feasibility of the algorithm. Different service modes and scale choices have a significant impact on the location of recycling chain stores. Relevant decision makers can improve profits by reasonably providing different services.更多还原