2014 | OriginalPaper | Buchkapitel
Performance of Migrating Birds Optimization Algorithm on Continuous Functions
verfasst von : Ali Fuat Alkaya, Ramazan Algin, Yusuf Sahin, Mustafa Agaoglu, Vural Aksakalli
Erschienen in: Advances in Swarm Intelligence
Verlag: Springer International Publishing
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In this study, we evaluate the performance of a recently proposed metaheuristic on several well-known functions. The objective of this evaluation is to participate in a competition where several metaheuristics are compared. The metaheuristic we exploit is the recently proposed migrating birds optimization (MBO) algorithm. Our contribution in this study is to develop a novel neighbor generating function for MBO to be used in multidimensional continuous spaces. After a set of preliminary tests presenting the best performing values of the parameters, the results of computational experiments are given in 2, 10 and 30 dimensions.