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A hybrid chaotic genetic algorithm for short-term hydro system scheduling. (English) Zbl 1030.90040

Summary: This paper proposes a novel hybrid chaotic genetic algorithm to solve the short-term generation scheduling of hydro system. The integration of chaotic sequence and genetic algorithm with a new self-adaptive error back-propagation mutation operator are developed, which can overcome premature and increase the convergence speed. Simulation results have demonstrated that the proposed approach is feasible and effective for the applications.

MSC:

90B35 Deterministic scheduling theory in operations research
90C90 Applications of mathematical programming
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