Human-Computer Cooperative Brain Storm Optimization Algorithm For The Two-Echelon Vehicle Routing Problem

This paper presents a human-computer cooperative brain storm optimization algorithm, which is based on an improved brain storm optimization algorithm with human intelligence in computer game. In our algorithm, the initial population is provided with some better ideas obtained by computer game. Moreover, converging operation and diverging operation also employ the solutions from different players to generate ideas during evolution process. With the help of human-machine cooperation, our algorithm, integrating strategy development capabilities of players with brain storm optimization algorithm, is applied to solve some complex optimized problems. We apply the proposed method to two-echelon vehicle routing problem to verify its effectiveness and usefulness.