Herself’s Artificial Intelligence

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An interesting swarm algorithm based on bats

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Metaheuristic algorithms such as particle swarm optimization, firefly algorithm and harmony search are now becoming powerful methods for solving many tough optimization problems. In this paper, we propose a new metaheuristic method, the Bat Algorithm, based on the echolocation behaviour of bats. We also intend to combine the advantages of existing algorithms into the new bat algorithm. After a detailed formulation and explanation of its implementation, we will then compare the proposed algorithm with other existing algorithms, including genetic algorithms and particle swarm optimization. Simulations show that the proposed algorithm seems much superior to other algorithms, and further studies are also discussed. [download the paper pdf]

More information
Other swarm papers by Xin-She Yang

Written by Linda MacPhee-Cobb

April 25th, 2010 at 8:42 pm

Posted in artificial intelligence in the news

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