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This paper proposes an enhanced PSO (EPSO) approach to solve the unit commitment (UC) problem in electric power system, which is an integrated improved discrete binary particle swarm optimization (DBPSO) with the Lambda-iteration method. The EPSO is enhanced by priority list based on the unit characteristics and heuristic search strategies to repair the(More)
This paper proposes a new chaotic hybrid cultural algorithm to solve constrained optimization problems. In the proposed method, differential evolution is embedded into cultural algorithm as its population space and applies situational and normative knowledge sources in belief space to influence the variation operator of differential evolution. We apply(More)
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