A Global African Buffalo Optimization
In this paper, a modified version of the African Buffalo Optimization algorithm with emphasis on global search is proposed. Two different equations with the values of their upper and lower boundaries are selected to be tested. The experimental result illustrates the difference in performance between...
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my.ump.umpir.141732018-04-25T06:59:23Z http://umpir.ump.edu.my/id/eprint/14173/ A Global African Buffalo Optimization Azrag, M. A. K. Tuty Asmawaty, Abdul Kadir Odili, Julius Beneoluchi Essam, M. H. A. QA75 Electronic computers. Computer science In this paper, a modified version of the African Buffalo Optimization algorithm with emphasis on global search is proposed. Two different equations with the values of their upper and lower boundaries are selected to be tested. The experimental result illustrates the difference in performance between the modified and the original ABO algorithm toward the optimum solution. At the end of all experimental procedures, it was observed that the Global African Buffalo Optimization (GABO) converges very quickly towards the optimal solution with a few buffalos. However, the experimental result show that GABO convergence still needs improvement as it tends to have unpromising convergence towards the end of a large iteration. In any case, GABO is a promising optimization method. Penerbit UMP 2017 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/14173/1/fskkp-2017-odili-A%20Global%20African%20Buffalo%20Optimization.pdf Azrag, M. A. K. and Tuty Asmawaty, Abdul Kadir and Odili, Julius Beneoluchi and Essam, M. H. A. (2017) A Global African Buffalo Optimization. International Journal of Software Engineering & Computer Sciences (IJSECS), 3. pp. 138-145. ISSN 2289-8522 http://ijsecs.ump.edu.my/index.php/archive/14-volume-3/23-ijsecs-3-010 DOI: 10.15282/ijsecs.3.2017.10.0032 |
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QA75 Electronic computers. Computer science Azrag, M. A. K. Tuty Asmawaty, Abdul Kadir Odili, Julius Beneoluchi Essam, M. H. A. A Global African Buffalo Optimization |
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In this paper, a modified version of the African Buffalo Optimization algorithm with emphasis on global search is proposed. Two different equations with the values of their upper and lower boundaries are selected to be tested. The experimental result illustrates the difference in performance between the modified and the original ABO algorithm toward the optimum solution. At the end of all experimental procedures, it was observed that the Global African Buffalo Optimization (GABO) converges very quickly towards the optimal solution with a few buffalos. However, the experimental result show that GABO convergence still needs improvement as it tends to have unpromising convergence towards the end of a large iteration. In any case, GABO is a promising optimization method. |
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Article |
author |
Azrag, M. A. K. Tuty Asmawaty, Abdul Kadir Odili, Julius Beneoluchi Essam, M. H. A. |
author_facet |
Azrag, M. A. K. Tuty Asmawaty, Abdul Kadir Odili, Julius Beneoluchi Essam, M. H. A. |
author_sort |
Azrag, M. A. K. |
title |
A Global African Buffalo Optimization |
title_short |
A Global African Buffalo Optimization |
title_full |
A Global African Buffalo Optimization |
title_fullStr |
A Global African Buffalo Optimization |
title_full_unstemmed |
A Global African Buffalo Optimization |
title_sort |
global african buffalo optimization |
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Penerbit UMP |
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2017 |
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http://umpir.ump.edu.my/id/eprint/14173/1/fskkp-2017-odili-A%20Global%20African%20Buffalo%20Optimization.pdf http://umpir.ump.edu.my/id/eprint/14173/ http://ijsecs.ump.edu.my/index.php/archive/14-volume-3/23-ijsecs-3-010 |
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