Bulletin of Science and Technology · 2003 · 33 citations · 0 references
ComputingComputer ScienceAlgorithmsArtificial IntelligenceOptimizationCombinatorial OptimizationEvolutionary ComputationEvolutionary OptimizationHeuristic OptimizationOptimization ModelingOptimization TheoryAnt Colony OptimizationEvolutionary AlgorithmsParameter SelectionPopulation-based Optimization
The ant colony algorithm is a novel simulated evolutionary algorithm which shows many good properties. This paper presents the principle, the characteristics, the construction and realization method about the basic model AS (Ant System) of the ant colony algorithm. Experimental analyses are carried out on the reasonable selection on the parameters of this algorithm, and basic principles for the parameter selection are provided. The results from this paper are beneficial to the application and development of the ant colony algorithm in optimization problems.