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2008

Orthogonal Methods Based Ant Colony Search for Solving Continuous Optimization Problems

10 years 2 months ago
Orthogonal Methods Based Ant Colony Search for Solving Continuous Optimization Problems
Research into ant colony algorithms for solving continuous optimization problems forms one of the most significant and promising areas in swarm computation. Although traditional ant algorithms are designed for combinatorial optimization, they have shown great potential in solving a wide range of optimization problems, including continuous optimization. Aimed at solving continuous problems effectively, this paper develops a novel ant algorithm termed "continuous orthogonal ant colony" (COAC), whose pheromone deposit mechanisms would enable ants to search for solutions collaboratively and effectively. By using the orthogonal design method, ants in the feasible domain can explore their chosen regions rapidly and efficiently. By implementing an "adaptive regional radius" method, the proposed algorithm can reduce the probability of being trapped in local optima and therefore enhance the global search capability and accuracy. An elitist strategy is also employed to reserv...
Xiaomin Hu, Jun Zhang, Yun Li
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2008
Where JCST
Authors Xiaomin Hu, Jun Zhang, Yun Li
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