It is intended to introduce the methods of multiobjective in integrated electric power system operation, covering economic, environmental security and risk aspects as well. It also presents systematic coverage of local and global optimization techniques such as binary and real coded genetic algorithms, evolutionary algorithms, particle swarm optimization and differential evolutionary algorithms.
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