In recent years many heuristic optimization methods have been developed. Many of these methods are inspired by swarm behaviors’ in nature. In this paper a new optimization algorithm based on newtons law of gravity and biogeography is introduced. In the proposed algorithm the searching space of GSA is increased from local population range to global by using the concepts of biogeography. Also the fitness of agents is optimized in GSA by using mathematical analysis.
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