Parallel Multi-Objective Genetic Algorithm for Short-Term Economic Environmental Hydrothermal Scheduling

Parallel Multi-Objective Genetic Algorithm for Short-Term Economic Environmental Hydrothermal Scheduling

With the increasingly serious energy crisis and environmental pollution, the short-term economic environmental hydrothermal scheduling (SEEHTS) problem is becoming more and more important in modern electrical power systems. In order to handle the SEEHTS problem efficiently, the parallel multi-object...

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Bibliografiska uppgifter
Huvudupphovsmän: Zhong-Kai Feng, Wen-Jing Niu, Jian-Zhong Zhou, Chun-Tian Cheng, Hui Qin
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2017-01-01
Serie:Energies
Ämnen:
parallel computing
economic environmental hydrothermal scheduling
multi-objective optimization
multi-objective genetic algorithm
constraint handling method
Länkar:http://www.mdpi.com/1996-1073/10/2/163

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http://www.mdpi.com/1996-1073/10/2/163

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