Hybrid Proposed Particle Swarm Optimization Method for Solving Multi Area Unit Commitment Problem
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چکیده
Particle Swarm Optimization (PSO) is a population based stochastic optimization technique developed by Eberhart (1995) and Kennedy, inspired by the social behavior of bird flocking or fish schooling. PSO shares many similarities with evolutionary computation techniques such as GA. The system is initialized with a population of random solutions and searches for optima by updating generations. However, unlike the GA, the PSO has no evolution operators, such as crossover and mutation. In PSO, the potential solutions called particles fly through the problem space by following the current optimum particles.
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