pages
The following papers are available only for teaching purposes.- Search strategies exercises (in Italian). Credits Prof. Paola Mello.
- Introduction to metaheuristics. C.Blum, A.Roli. Metaheuristics in Combinatorial Optimization: Overview and Conceptual Comparison. ACM Computing Surveys, Vol.35, N.3, 2003. (preprint available)
- A multi-agent architecture for metaheuristics. M.Milano, A.Roli. MAGMA: A Multiagent Architecture for Metaheuristics. IEEE Trans. on Systems, Man and Cybernetics - Part B, Vol.34, Issue 2, April 2004. (preprint available)
- A formal model of local search. A.Roli. A note on a model of local search. Technical report TR/IRIDIA/2004/23.01, IRIDIA, Université Libre de Bruxelles, Belgium.
- On the relation between complete and incomplete search. M.Milano, A.Roli. Proceedings of CPAIOR 2002.
- An introduction to Hybrid metaheuristics (slides).
- Large Neighbourhood Search Algorithms for the Founder Sequence Reconstruction Problem. A. Roli, S. Benedettini, T. Stuetzle and C. Blum. TR/IRIDIA/2010-012.
- Comet source code of examples of stochastic local search algorithms for the N-queens problem.
- Book (free download, Creative Commons) on genetic programming. R. Poli, W.B. Langdon, N.F. McPhee, J. Koza. A Field Guide to Genetic Programming.
- M. Dorigo, E. Bonabeau, G. Theraulaz. Ant algorithms and stigmergy. Future Generation Computer Systems, Vol.16, n.9, 2000.
- C. Blum. Ant colony optimization: Introduction and recent trends. Physics of Life Reviews, 2(4):353-373, 2005.
- H. Labella, M. Dorigo, J.-L. Deneubourg. Division of Labour in a Group of Robots Inspired by Ants' Foraging Behaviour. Technical Report IRIDIA-TR-2004-13, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2005.
I thank Prof. Paola Mello, Prof. Michela Milano and Prof. Giorgio Buttazzo for giving me the permission of using part of their teaching material, which was revised and emended for this course.The Italian association for artificial intelligence is a non profit association promoting AI research. Website:
www.aixia.it
L'Associazione Italiana per l'Intelligenza Artificiale è un'associazione non profit per la promozione dello studio e della ricerca nel campo dell'intelligenza artificiale. Offre ogni anno premi per tesi sull'Intelligenza Artificiale e borse di studio per la partecipazione ad eventi ai suoi iscritti.
Per informazioni, gli studenti possono rivolgersi al docente di questo corso o ai referenti indicati sul sito dell'associazione (
www.aixia.it).