Qin Zhang: an Improved Continuous Ant Colony Algorithm for Global Optimization of ..
نویسندگان
چکیده
In this paper, we present an improved continuous ant colony algorithm for global optimization of continuous functions. We show how to improve the quality of Ant Colony Optimization, ACO, to solve continuous optimization problems. We present the general idea, implementation, the analysis of its convergence and results obtained. We compare the results with Adaptive Genetic Algorithm, AGA, and Continuous ACO, CACO, from which we draw our inspiration, and other ant-related optimization methods and continuous optimization methods. Experimental results show that Iterated Continuous Ant Colony, ICAC, is an efficient method for continuous optimization problems.
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