        TY  - JOUR
T1  - Implementation Strategies for the Cuckoo Search and the African Buffalo Optimization for the Benchmark Rosenbrock Function
AU  - Odılı, Julius Beneoluchi
AU  - A., Noraziah
AU  - Ambar, Radzi
AU  - Wahab, Mohd Helmy Abd
PY  - 2018
DA  - August
JF  - The Eurasia Proceedings of Science Technology Engineering and Mathematics
JO  - EPSTEM
PB  - ISRES Publishing
WT  - DergiPark
SN  - 2602-3199
SP  - 395
EP  - 402
IS  - 2
LA  - en
AB  - The introduction of five benchmark globaloptimization test functions by De Jong has remained prominent in Mathematicsand Computer Science for over three decades now. This paper examines the effectof the search population and the number of iterations of the Cuckoo Search andthe African Buffalo Optimization in providing solutions to one of Dejongfunction, the Rosenbrock function, sometimes called Dejong2 function which is aunimodal non-separable function. The Rosenbrock function because of its deceptiveflat landscape has proven to be a good test case for optimization algorithmssince the flat surface provides very misleading information to search agents.After a number of experimental investigations using different iteration numbersand population, this study concludes that the CS provides better solutions butat a cost of more computer resources than the ABO. As a result, this study inharmony with the No Free Lunch Theorem concludes that if speed is the mainconsideration, the ABO is a better algorithm in solving the Rosenbrock (or asimilar function), otherwise, the CS is a better choice.&amp;nbsp;&amp;nbsp;
KW  - African buffalo optimization
KW  - Cuckoo search
KW  - Iteration
KW  - Rosenbrock
KW  - Search
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UR  - https://dergipark.org.tr/en/pub/epstem/issue//455971
L1  - https://dergipark.org.tr/en/download/article-file/528357
ER  -