Research on Multi-Objective Supply Chain Network Optimization Based on Cooperative Coevolutionary Algorithm
Xinhui Qiu · 2023
In the field of supply chain management, dealing with a large number of complex supply chain network optimization problems is often required. These problems typically involve large-scale network structures, multiple conflicting optimization objectives, and complex constraints, which greatly increase the difficulty of problem solving. In order to provide more effective solutions, this study designs a constrained large-scale multi-objective supply chain network model aimed at simultaneously optimizing the total operational cost and customer satisfaction under capacity constraints. Furthermore, to effectively solve the MOMCLS model, this paper proposes a cooperative co-evolutionary algorithm based on auxiliary populations. After comparing with other algorithms, it is concluded that this algorithm outperforms others and can effectively solve supply chain network optimization problems under complex constraints and multiple objectives.