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Application of a fuzzy logic based adaptive genetic algorithm in unit commitment
Su, Xiaolin
2010-05-10 ; 2010-05-10
会议名称DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS ; International Conference on Complex Systems and Applications ; Huhhot, PEOPLES R CHINA ; Web of Science
关键词Mathematics, Applied
中文摘要The paper presents an improved adaptive genetic algorithm based on fuzzy logic, and applies it to solve unit commitment problem in power systems. The presented method uses the fuzzy logic system to control crossover ratio, mutation ratio and crossover position of the standard genetic algorithm during population evolution. The method has characteristics of fast search, easy convergence and strong robustness. Unit commitment of example power systems is solved by the proposed method. The calculation results demonstrate the technique is efficient and prospective.
会议录出版者WATAM PRESS ; WATERLOO ; C/O DCDIS JOURNAL, 317 KAREN PLACE, WATERLOO, ONTARIO N2L 6K8, CANADA
语种英语 ; 英语
内容类型会议论文
源URL[http://hdl.handle.net/123456789/18613]  
专题清华大学
推荐引用方式
GB/T 7714
Su, Xiaolin. Application of a fuzzy logic based adaptive genetic algorithm in unit commitment[C]. 见:DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, International Conference on Complex Systems and Applications, Huhhot, PEOPLES R CHINA, Web of Science.
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