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A Pheromone Trails Model for MAX-MIN Ant System (CROSBI ID 578041)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Ivković, Nikola ; Golub, Marin ; Maleković, Mirko A Pheromone Trails Model for MAX-MIN Ant System // 10th Biennal International Conference on Artificial Evolution / Jim-Kao Hao, Pierrick Legrand, Pierre Collet, Nicolas Monmarche, Evelyne Lutton, Marc Schoenauer (ur.). Angers, 2011. str. 34-46

Podaci o odgovornosti

Ivković, Nikola ; Golub, Marin ; Maleković, Mirko

engleski

A Pheromone Trails Model for MAX-MIN Ant System

Pheromone trails are the main media for gathering collective knowledge about a problem, and have a central role in all ant colony optimization algorithms. Setting appropriate trail limits for the MAX.MIN ant system (MMAS) is important for good performance of the algorithm. We used rigorous analysis to develop expressions that model the influence of trail limits on MMAS behavior. Besides the general model, specific formulas for ATSP, TSP and QAP are presented. Assumptions on which our model is founded are experimentally validated. The paper gave general guidance for estimating the trail limits ratio established on exact analytical models. Experiments on tested problems showed a high level of agreement with predictions made by the presented model.

pheromone trail; trail limit; MAX-MIN ant system; Ant colony

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Podaci o prilogu

34-46.

2011.

objavljeno

Podaci o matičnoj publikaciji

10th Biennal International Conference on Artificial Evolution

Jim-Kao Hao, Pierrick Legrand, Pierre Collet, Nicolas Monmarche, Evelyne Lutton, Marc Schoenauer

Angers:

978-2-9539267-1-2

Podaci o skupu

Artificial Evolution 2011

predavanje

24.10.2011-26.10.2011

Angers, Francuska

Povezanost rada

Računarstvo, Informacijske i komunikacijske znanosti