By Marco A. Montes de Oca, Thomas Stützle, Mauro Birattari, Marco Dorigo (auth.), Marco Dorigo, Luca Maria Gambardella, Mauro Birattari, Alcherio Martinoli, Riccardo Poli, Thomas Stützle (eds.)
ANTS – The overseas Workshop on Ant Colony Optimization and Swarm Intelligence is now at its ?fth version. The sequence all started in 1998 with the - ganization of ANTS 1998. at the moment the target was once to collect in a standard assembly these researchers drawn to ant colony optimization: greater than 50 researchers from all over the world joined for the ?rst time in Brussels, Belgium, to debate ant colony optimization and swarm intelligence similar examine. A selectionofthebest paperspresentedatthe workshopwaspublished asa targeted factor of the longer term iteration computers magazine (Vol. sixteen, No. eight, 2000). years later, ANTS 2000, equipped back in Brussels, attracted greater than 70 contributors. The forty-one prolonged abstracts provided as talks or posters on the workshopwere accumulated in a ebook dispensed to contributors, and a range of the easiest papers used to be released as a different component to the IEEE Transactions on Evolutionary Computation (Vol. 6, No. four, 2002). After those ?rst winning versions, it was once determined to make of ANTS a seriesofbiannualeventswitho?cialworkshopproceedings.Thethirdandfourth variants have been equipped in September 2002 and September 2004, respectively. lawsuits have been released via Springer in the Lecture Notes in desktop technological know-how (LNCS) sequence. The complaints of ANTS 2002, LNCS quantity 2463, contained 36 contri- tions: 17 complete papers, eleven brief papers, and eight prolonged abstracts,selected out of a complete of fifty two submissions. these of ANTS 2004, LNCS quantity 3172, contained 50 contributions:22 complete papers, 19 shortpapers, and nine prolonged abstracts,selected out of a complete of seventy nine submissions.
Read Online or Download Ant Colony Optimization and Swarm Intelligence: 5th International Workshop, ANTS 2006, Brussels, Belgium, September 4-7, 2006. Proceedings PDF
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Additional info for Ant Colony Optimization and Swarm Intelligence: 5th International Workshop, ANTS 2006, Brussels, Belgium, September 4-7, 2006. Proceedings
Gambardella L. , Ant Algorithms for Discrete Optimization. Artiﬁcial Life, 5(2) (1999) 21. : Particle Swarm Optimization. In: Proceedings of the IEEE International Conference on Neural Networks (1995) 22. : On Optimal Parameters for Ant Colony Optimization algorithms. In: The International Conference on Artiﬁcial Intelligence (ICAI) (2004) 23. Brockwell P. , Davis R. : Introduction to Time Series and Forecasting. SpingerVerlag (2002) 24. : Markov Chains. Cambridge University Press (1998) A Stochastic Traﬃc Assignment Algorithm Based on Ant Colony Optimisation Luca D’Acierno, Bruno Montella, and Fortuna De Lucia Dept.
Therefore it is possible to state the perfect equivalence of diversion node probabilities between the Ant approach (25) and the Dial approach (21). With the use of the extension of Blum’s theorem () proposed by , we may state the convergence of the proposed ACO-based MSA algorithm, assuming that existence and uniqueness conditions hold, if Jac [c (τ )] is symmetric and continuous. Indeed, this condition satisﬁes all hypotheses of Blum’s theorem in the case of the ﬁxed-point problem τ = τ (c (f (τ ))) where τ is a vector whose generic element is the pheromone trail τod,l (or equivalently wod,l ), of dimensions ((nP airs · nLinks ) × 1), and with the assumption that λ (·) = τ (c (f (τ ))) and ϕ (·) : ∇ϕ (·) = c (f (τ ))−c∗ where c∗ = c (f (τ ∗ )).
1 Introduction In design problems or in real-time management of transportation systems, it is necessary to have a simulation model that allows network performances and features to be deﬁned for each alternative project or each management strategy. In analyses of real dimension networks, it is important that simulation models allow solutions to be obtained swiftly such that it is possible to explore a large number of alternative projects or simulate beforehand consequences of a strategy in terms of future (minutes or hours) network conditions.
Ant Colony Optimization and Swarm Intelligence: 5th International Workshop, ANTS 2006, Brussels, Belgium, September 4-7, 2006. Proceedings by Marco A. Montes de Oca, Thomas Stützle, Mauro Birattari, Marco Dorigo (auth.), Marco Dorigo, Luca Maria Gambardella, Mauro Birattari, Alcherio Martinoli, Riccardo Poli, Thomas Stützle (eds.)