Research on Resource Coordination of Collaborative Logistics Based on Time and Cost

A task coordination model was put forward to optimize the resource configuration of collaborative logistics network. And virus evolutionary genetic algorithm (VEGA) for its solution was constructed. In the algorithm, cost and time information were combined into the host fitness function, operating order and mode of activities were obtained by host evolution and virus infection. The theoretical analysis by schema theory showed that the VEGA outperforms the traditional genetic algorithm (GA). Experiment was taken with different demand of cost and time of logistics activities. Results show that the model and VEGA are valid to provide an effective decision solution for efficient collaboration of logistics network.