A hybrid chaotic genetic algorithm for short-term hydro system scheduling

This paper proposes a novel hybrid chaotic genetic algorithm (HCGA) 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.

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Year of publication:	2002
Authors:	Yuan, Xiaohui ; Yuan, Yanbin ; Zhang, Yongchuan
Published in:	Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 59.2002, 4, p. 319-327
Publisher:	Elsevier
Subject:	Chaos \| Genetic algorithm \| Short-term optimal dispatch \| Hydroelectric system

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010748897