1
The Ant System: optimisation by a colony of cooperating agents
Marco Dorigo*,^, Member, IEEE, Vittorio Maniezzo%,^, and Alberto Colorni#
* IRIDIA, Université Libre de Bruxelles, Avenue Franklin Roosevelt 50, CP 194/6, 1050 Brussels, Belgium. Email: mdorigo@ulb.ac.be uniform resource locator: http://iridia.ulb.ac.be/dorigo/dorigo.html ^Politecnico di Milano Artificial Intelligence and Robotics Project, Dipartimento di Elettronica e Informazione,
Politecnico di Milano, Piazza da Vinci da Vinci 32, 20133 Milano, Italy.
% Dipartimento di Scienze dellInformazione, Università di Bologna, Via Sacchi 3, 47023 Cesena, Italy. Email:
maniezzo@csr.unibo.it
# Centro di Teoria dei Sistemi del CNR, Dipartimento di Elettronica e Informazione, Politecnico di Milano,
Piazza Leonardo da Vinci 32, I-20133 Milano, Italy. Email: colorni@elet.polimi.it
Abstract
An analogy with the way ant colonies function has suggested the rendering of a new computational paradigm, which we call Ant System. We shoot for it as a viable new approach to random combinatorial optimization. The main characteristics of this model are positive feedback, distributed computation, and the enjoyment of a constructive greedy heuristic.
Positive feedback accounts for rapid discovery of good solutions, distributed computation avoids premature convergence, and the greedy heuristic helps date acceptable solutions in the early stages of the search process. We apply the proposed methodological analysis to the classical Traveling Salesman Problem (TSP), and report simulation results. We alike discuss parameter selection and the early setups of the model, and compare it with sacred search and simulated annealing using TSP. To demonstrate the validness of the approach, we show how the Ant System (AS) can be employ to other optimization problems like the asymmetric traveling salesman, the quadratic assignment and the job-shop scheduling. Finally we...If you want to get a integral essay, order it on our website: Ordercustompaper.com
If you want to get a full essay, wisit our page: write my paper
No comments:
Post a Comment