Journal
INFORMATION TECHNOLOGY AND CONTROL
Volume 46, Issue 4, Pages 566-604Publisher
KAUNAS UNIV TECHNOLOGY
DOI: 10.5755/j01.itc.46.4.18215
Keywords
ABC; control parameter setting; sensitivity analysis; significance testing; chess rating system for; evolutionary algorithms
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Artificial Bee Colony (ABC) is a successful meta-heuristic algorithm that has been greatly utilised by researchers. Through our practical experience of ABC, we have noticed that the recommended formula 'limit' = ne * D may not be the best choice for different problems. In this work, a set of experiments using horizontal and vertical approaches has been designed and executed with the aim of observing the effect of 'limit' on ABC. The results have been statistical analysed using Null Hypothesis Significance Testing (NHST) as well as the Chess Rating System for Evolutionary Algorithms (CRS4EAs), which is a novel approach for comparing meta-heuristic algorithms. It is shown that the recommended formula is not the best setting for different problems and approaches. Hence, the control parameter 'limit' should be tuned or controlled. The other important result of this study is to show that CRS4EAs is comparable but also shows benefits over NHST.
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