Finite-Time Performance Analysis of Static Simulated Annealing Algorithms
Computational Optimization and Applications
Ant Colony Optimization
Intelligent Neighborhood Exploration in Local Search Heuristics
ICTAI '06 Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence
A synergistic approach for evolutionary optimization
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
The Small World of Pheromone Trails
ANTS '08 Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence
Cluster Analysis
On MAX - MIN ant system's parameters
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
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Analyzing the behavior of stochastic procedures is generally recognized to be relevant. A possible way for doing so consists in observing the exploration performed. A formalization in this sense is proposed here: A method for studying this aspect regardless the type of approach used is defined and tested. The consequent measure of exploration is applied to MAX---MIN Ant System: The impact of the values of the parameters on the exploration is assessed. The conclusions drawn are put in relation with the indications provided by the average *** -branching factor.