Ant colony optimization applied to the pickup and delivery problem

Karl Doerner, Richard F. Hartl, Marc Reimann

Publikation: Working/Discussion PaperWU Working Paper

4 Downloads (Pure)

Abstract

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.
OriginalspracheEnglisch
ErscheinungsortVienna
HerausgeberSFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business
PublikationsstatusVeröffentlicht - 2000

Publikationsreihe

NameWorking Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Nr.76

WU Working Paper Reihe

  • Working Papers SFB \Adaptive Information Systems and Modelling in Economics and Management Science\

Dieses zitieren