In this paper we propose an ACO algorithm to optimize the total costs associated with the pickup and delivery of full truckloads under time window constraints in a hub network. We perform a thorough technical analysis of the ACO by comparing different pheromone decoding schemes, different visibility information and various population sizes. Furthermore we propose a post-optimization technique to improve the solutions. Our results show that appropriate data structures significantly improve the solution quality.
|Name||Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"|
- Working Papers SFB \Adaptive Information Systems and Modelling in Economics and Management Science\