Short-term economic environmental hydrothermal scheduling using improved multi-objective gravitational search algorithm
نویسندگان
چکیده
Article history: Received 3 July 2014 Accepted 21 September 2014 Available online 10 October 2014
منابع مشابه
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-objective genetic algorithm (PMOGA) is proposed in the paper. Based on the Fork/Join parallel framework...
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