Abstract: From the two perspectives of customer satisfaction and the social responsibility of the enterprise, a comprehensive transportation cost model is established, considering the loss caused by factors such as the exhaust emissions, in-transit inventory losses, delay or early loss and goods value decay, combined with transport cost. On this basis, a multimodal transport path optimization model is also established to minimize the comprehensive transport cost as the goal. In addition, a Hybrid Bat Algorithm (HBA) is designed to solve the path optimization model. Finally, a random simulation experiment is implemented and compared with Harmony Search Algorithm (HSA) and Hybrid Algorithm (HA). The research results show that both the model and the Hybrid Bat Algorithm (HBA) are feasible and effective. What’s more, the Hybrid Bat Algorithm (HBA) is superior to Harmony Search Algorithm (HSA) and Hybrid Algorithm (HA) in many aspects such as the global optimization ability, stability and running speed.

Key words: multimodal transport, comprehensive transport cost, rout optimization, bat algorithm, hybrid algorithm