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Parameter tuning for ant colony optimization: a review

Wong, Kuan Yew and Komarudin, - (2008) Parameter tuning for ant colony optimization: a review. Proceedings of the International Conference on Computer and Communication Engineering 2008 . pp. 542-545.

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Abstract

Ant Colony Optimization (ACO) has enjoyed development and improvement since it was introduced in 1990s. The development of ACO was primarily driven by its convergence problem. Balancing between intensification and diversification in the search space is an important factor to intelligently improve solutions and avoid premature convergence. Balancing intensification and diversification can be gained by controlling the parameters value (this is called parameter tuning). Unfortunately, only little research has been reported to adopt parameter tuning as a strategy to balance intensification and diversification in ACO. This paper review parameter tuning in ACO published in the literature. ©2008 IEEE.

Item Type:Article
Uncontrolled Keywords:Communication engineering
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:7078
Deposited By: Mohamad Ali Duki
Deposited On:17 Dec 2008 06:08
Last Modified:24 Jun 2011 04:17

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