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African Buffalo Optimization for Global Optimization


Affiliations
1 Department of Mathematical Sciences, Anchor University, Lagos, Nigeria
2 Universiti Malaysia Pahang, Kuantan 26300, Malaysia
 

In this study we apply the African buffalo optimization (ABO) to solve benchmark global optimization problems. Such problems which are artificial representation of different search landscapes ranging from unimodal to multimodal, separable to non-separable, constrained to unconstrained search landscapes have become a veritable instrument to test the search capacities of optimization algorithms. After a number of experimental procedures involving 28 benchmark problems, results from ABO prove to be rather competitive leading to the conclusion that it is a worthy addition to the body of swarm intelligence techniques.

Keywords

African Buffalo Optimization, Global Optimization, Search Landscapes, Swarm Intelligence Techniques.
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  • African Buffalo Optimization for Global Optimization

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Authors

Julius Beneoluchi Odili
Department of Mathematical Sciences, Anchor University, Lagos, Nigeria
A. Noraziah
Universiti Malaysia Pahang, Kuantan 26300, Malaysia

Abstract


In this study we apply the African buffalo optimization (ABO) to solve benchmark global optimization problems. Such problems which are artificial representation of different search landscapes ranging from unimodal to multimodal, separable to non-separable, constrained to unconstrained search landscapes have become a veritable instrument to test the search capacities of optimization algorithms. After a number of experimental procedures involving 28 benchmark problems, results from ABO prove to be rather competitive leading to the conclusion that it is a worthy addition to the body of swarm intelligence techniques.

Keywords


African Buffalo Optimization, Global Optimization, Search Landscapes, Swarm Intelligence Techniques.

References





DOI: https://doi.org/10.18520/cs%2Fv114%2Fi03%2F627-636