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A Hybrid Particle Swarm Optimization and Gravitational Search Algorithm for Solving Optimal Power Flow Problem

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Abstract (2. Language): 
The gravitational search algorithm is one of the new heuristic search optimization methods which are based on gravity law. Despite having high capability, this approach suffers from low search speed duo to lack of memory. To overcome this problem, the particle swarm optimization method has been used. Therefore, in this paper, hybrid particle swarm optimization and gravitational search algorithm has been used to find the solution of optimal power flow. Performance of the proposed method has been evaluated using different objective functions on the IEEE 30-bus and 57-bus test systems. Comparing the results of this method with other methods shows better performance of the proposed method.
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