The ant system applied to the quadratic assignment problem

Citation
V. Maniezzo et A. Colorni, The ant system applied to the quadratic assignment problem, IEEE KNOWL, 11(5), 1999, pp. 769-778
Citations number
21
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
ISSN journal
10414347 → ACNP
Volume
11
Issue
5
Year of publication
1999
Pages
769 - 778
Database
ISI
SICI code
1041-4347(199909/10)11:5<769:TASATT>2.0.ZU;2-D
Abstract
In recent years, there has been growing interest in algorithms inspired by the observation of natural phenomena to define computational procedures tha t can solve complex problems. In this article, we describe a distributed he uristic algorithm that was inspired by the observation of the behavior of a nt colonies, and we propose its use for the Quadratic Assignment Problem. T he results obtained in solving several classical instances of the problem a re compared with those obtained from other evolutionary heuristics to evalu ate the quality of the proposed system.