文章基本信息

标题：PERFORMANCE COMPARISON OF INTEGER CODED CUCKOO AND LEVY FLIGHTS ALGORITHM APPLIED TO UNIT-COMMITMENT PROBLEM
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作者：J.CHITRA ; DR. C.S.RAVICHANDRAN
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：66
期号：3
出版社：Journal of Theoretical and Applied
摘要：Optimal use of generated power using the Unit Commitment (UC) has been a of research interest for decades. Even though there were lots of optimization techniques tested on the Unit Commitment problem in the past the research is still on because of the newer optimization techniques. With this motivation new algorithms like the Cuckoo Search Algorithm (CSA) using Levy Flights Algorithm (LFA) is implemented on the Unit Commitment problem and compared with the Shifted Frog Leap Algorithm (SFLA). The parameters under study for performance comparison are the execution time, speed of convergence, search area and total number of iterations. MatlabTM based UC problem simulation is carried on a ten-unit system for a 24-hour load demand with the SFLA and CSA algorithm and the performance comparison is tabulated. The CSA algorithm gives overall improvement in the performance compared to the SFLA method of UC solution.
关键词：Cuckoo Search Algorithm; Unit Commitment; Shuffled Frog Leap Algorithm; Meta-Heuristic Search Algorithms; Optimization techniques.