Based on the combination of the fast global search ability of GA and the positive feedback mechanism of ACO, a novel algorithm, named genetic ant colony ...
Thus, we propose a method that combines the fast global search ability of GA and the positive feedback mechanism of ACO to generate a novel genetic ant colony ...
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Experiments show that the classifier based on GACA can achieve better performance than that the normal GA and ACA does. A Genetic Ant Colony Classifier ZHANG ...
Experiments show that the classifier based on GACA can achieve better performance than that the normal GA and ACA does. The genetic algorithm (GA) has been ...
Ant Colony System is a metaheuristic optimization algorithm inspired by the foraging behavior of ants, belonging to the field of Swarm Intelligence.
A rule based machine learning method, called as ant colony classifier system, and applied to three process engineering examples.
Based on the combination of the fast global search ability of GA and the positive feedback mechanism of ACO, they proposed a novel algorithm, named genetic ant ...
A Genetic Ant Colony Classifier System | Proceedings of the 2009 ...
dl.acm.org › doi › CSIE.2009.748
Based on the combination of the fast global search ability of GA and the positive feedback mechanism of ACO, a novel algorithm, named genetic ant colony ...
Jul 6, 2020 · In our proposed hybrid ACO/GA algorithm, the ACO is responsible for generating classification rules and the GA improves the classification rules ...
This paper compares the optimization of a logistic scheduling problem using two different optimization techniques; the genetic algorithms and the ant colony ...