Resource title

Ant colony optimization applied to the pickup and delivery problem

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Resource description

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. (author's abstract) ; Series: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"

Resource author

Karl Doerner, Richard F. Hartl, Marc Reimann

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Resource publish date

Resource language

en

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application/pdf

Resource resource URL

http://epub.wu.ac.at/1434/1/document.pdf

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