@techreport{fc8a154d82c042fab3a70d3e7dca8b9f,
title = "Ant colony optimization applied to the pickup and delivery problem",
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.",
author = "Karl Doerner and Hartl, \{Richard F.\} and Marc Reimann",
year = "2000",
doi = "10.57938/fc8a154d-82c0-42fa-b3a7-0d3e7dca8b9f",
language = "English",
series = "Working Papers SFB {"}Adaptive Information Systems and Modelling in Economics and Management Science{"}",
number = "76",
publisher = "SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business",
edition = "November 2000",
type = "WorkingPaper",
institution = "SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business",
}