System Evolving using Ant Colony Optimization Algorithm
نویسندگان
چکیده
منابع مشابه
Evolving Ant Colony Optimization
Ant Colony Optimization (ACO) is a promising new approach to combinatorial optimization. Here ACO is applied to the traveling salesman problem (TSP). Using a genetic algorithm (GA) to nd the best set of parameters, we demonstrate the good performance of ACO in nding good solutions
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Hybrid algorithm is proposed to solve combinatorial optimization problem by using Ant Colony and Genetic programming algorithms. Evolutionary process of Ant Colony Optimization algorithm adapts genetic operations to enhance ant movement towards solution state. The algorithm converges to the optimal final solution, by accumulating the most effective sub-solutions.
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ژورنال
عنوان ژورنال: Journal of Computer Science
سال: 2009
ISSN: 1549-3636
DOI: 10.3844/jcssp.2009.380.387