Summary: The new meta-heuristic algorithms such as particle swarm optimization, firefly algorithm, harmony search algorithm has become an effective solution to today' s complex optimization problems. In this paper, based on bat echolocation behavior presents a new meta-heuristic algorithm--- bat, but also some of the advantages of the existing algorithms is introduced into the algorithm. Change the text of the algorithm in detail and make a note formulaic expressions its implementation process, and the algorithm and genetic algorithms, particle swarm optimization algorithm are compared. Simulation results show that the algorithm is superior to other algorithms bat, and made the prospects for further research.

The new meta-heuristic algorithm bat.pdf

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