Solving the Vehicle Routing Problem for a Reverse Logistics Hybrid Fleet Considering Real-Time Road Conditions

In this study, a bi-objective optimization model was established to solve the cooperative distribution problem of multi-center hybrid fleet by integrating reverse logistics under real-time road conditions. According characteristics and considering power level battery capacity electric vehicles, multi-objective immune genetic algorithm (MOIGA) designed compared with an elitist strategy algorithm, i.e., fast non-dominated sorting (NSGA-II). The scale MOIGA solution set exceeded that NSGA-II, which proved global search ability better than NSGA-II. operating efficiency lower but it could also find optimal within acceptable time range. This method can reduce total cost meet needs customers, therefore, improve customer satisfaction.