Optimal Scheduling for Port Logistics Alliance Operations Based on Genetic Taboo Hybrid Algorithm
In this paper, optimal scheduling on logistics task and logistics resources for the port logistics alliance operations is discussed, the logistics service cost and time of each node is comprehensively considered, in order to establish a multi-objective optimization model. At the same time, improve genetic algorithm in use of the advantage of tabu search climbing ability to design a genetic taboo hybrid algorithm, which enhances the solution efficiency. Hope this study can effectively realize optimal allocation on logistics resources and tasks for port logistics alliance.
Dongye Sun, Wen-Pei Sung and Ran Chen
W. Zhang and R. Wu, "Optimal Scheduling for Port Logistics Alliance Operations Based on Genetic Taboo Hybrid Algorithm", Applied Mechanics and Materials, Vols. 71-78, pp. 4207-4210, 2011