Abstract
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.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Duman, E., Uysal, M., Alkaya, A.F.: Migrating Birds Optimization: A New Metaheuristic Approach and Its Performance on Quadratic Assignment Problem. Information Sciences 217, 65–77 (2012)
Duman, E., Elikucuk, I.: Solving Credit Card Fraud Detection Problem by the New Metaheuristics Migrating Birds Optimization. In: Rojas, I., Joya, G., Cabestany, J. (eds.) IWANN 2013, Part II. LNCS, vol. 7903, pp. 62–71. Springer, Heidelberg (2013)
Website of Fifth International Conference on Swarm Intelligence, http://www.ic-si.org/competition
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Alkaya, A.F., Algin, R., Sahin, Y., Agaoglu, M., Aksakalli, V. (2014). Performance of Migrating Birds Optimization Algorithm on Continuous Functions. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds) Advances in Swarm Intelligence. ICSI 2014. Lecture Notes in Computer Science, vol 8795. Springer, Cham. https://doi.org/10.1007/978-3-319-11897-0_51
Download citation
DOI: https://doi.org/10.1007/978-3-319-11897-0_51
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11896-3
Online ISBN: 978-3-319-11897-0
eBook Packages: Computer ScienceComputer Science (R0)