A new rank based version of the Ant System. A computational study.

Bernd Bullnheimer, Richard F. Hartl, Christine Strauß

Publication: Working/Discussion PaperWU Working Paper

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Abstract

The ant system is a new meta-heuristic for hard combinatorial optimization problems. It is a population-based approach that uses exploitation of positive feedback as well as greedy search. It was first proposed for tackling the well known Traveling Salesman Problem (TSP), but has been also successfully applied to problems such as quadratic assignment, job-shop scheduling, vehicle routing and graph coloring.In this paper we introduce a new rank based version of the ant system and present results of a computational study, where we compare the ant system with simulated annealing and a genetic algorithm on several TSP instances. It turns out that our rank based ant system can compete with the other methods in terms of average behavior, and shows even better worst case behavior. (author's abstract)

Publication series

SeriesWorking Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Number1

WU Working Paper Series

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

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