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The design and applications of the african buffalo algorithm for general optimization problems

Optimization, basically, is the economics of science. It is concerned with the need to maximize profit and minimize cost in terms of time and resources needed to execute a given project in any field of human endeavor. There have been several scientific investigations in the past several decades on d...

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Main Author: Odili, Julius Beneoluchi
Format: Thesis
Language:English
Published: 2017
Subjects:
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/19553/19/The%20design%20and%20applications%20of%20the%20african%20buffalo%20algorithm%20for%20general%20optimization%20problems.pdf
http://umpir.ump.edu.my/id/eprint/19553/
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spelling my.ump.umpir.195532022-01-04T00:59:43Z http://umpir.ump.edu.my/id/eprint/19553/ The design and applications of the african buffalo algorithm for general optimization problems Odili, Julius Beneoluchi T Technology (General) Optimization, basically, is the economics of science. It is concerned with the need to maximize profit and minimize cost in terms of time and resources needed to execute a given project in any field of human endeavor. There have been several scientific investigations in the past several decades on discovering effective and efficient algorithms to providing solutions to the optimization needs of mankind leading to the development of deterministic algorithms that provide exact solutions to optimization problems. In the past five decades, however, the attention of scientists has shifted from the deterministic algorithms to the stochastic ones since the latter have proven to be more robust and efficient, even though they do not guarantee exact solutions. Some of the successfully designed stochastic algorithms include Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Particle Swarm Optimization, Bee Colony Optimization, Artificial Bee Colony Optimization, Firefly Optimization etc. A critical look at these ‘efficient’ stochastic algorithms reveals the need for improvements in the areas of effectiveness, the number of several parameters used, premature convergence, ability to search diverse landscapes and complex implementation strategies. The African Buffalo Optimization (ABO), which is inspired by the herd management, communication and successful grazing cultures of the African buffalos, is designed to attempt solutions to the observed shortcomings of the existing stochastic optimization algorithms. Through several experimental procedures, the ABO was used to successfully solve benchmark optimization problems in mono-modal and multimodal, constrained and unconstrained, separable and non-separable search landscapes with competitive outcomes. Moreover, the ABO algorithm was applied to solve over 100 out of the 118 benchmark symmetric and all the asymmetric travelling salesman’s problems available in TSPLIB95. Based on the successful experimentation with the novel algorithm, it is safe to conclude that the ABO is a worthy contribution to the scientific literature. 2017-05 Thesis NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19553/19/The%20design%20and%20applications%20of%20the%20african%20buffalo%20algorithm%20for%20general%20optimization%20problems.pdf Odili, Julius Beneoluchi (2017) The design and applications of the african buffalo algorithm for general optimization problems. PhD thesis, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Odili, Julius Beneoluchi
The design and applications of the african buffalo algorithm for general optimization problems
description Optimization, basically, is the economics of science. It is concerned with the need to maximize profit and minimize cost in terms of time and resources needed to execute a given project in any field of human endeavor. There have been several scientific investigations in the past several decades on discovering effective and efficient algorithms to providing solutions to the optimization needs of mankind leading to the development of deterministic algorithms that provide exact solutions to optimization problems. In the past five decades, however, the attention of scientists has shifted from the deterministic algorithms to the stochastic ones since the latter have proven to be more robust and efficient, even though they do not guarantee exact solutions. Some of the successfully designed stochastic algorithms include Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Particle Swarm Optimization, Bee Colony Optimization, Artificial Bee Colony Optimization, Firefly Optimization etc. A critical look at these ‘efficient’ stochastic algorithms reveals the need for improvements in the areas of effectiveness, the number of several parameters used, premature convergence, ability to search diverse landscapes and complex implementation strategies. The African Buffalo Optimization (ABO), which is inspired by the herd management, communication and successful grazing cultures of the African buffalos, is designed to attempt solutions to the observed shortcomings of the existing stochastic optimization algorithms. Through several experimental procedures, the ABO was used to successfully solve benchmark optimization problems in mono-modal and multimodal, constrained and unconstrained, separable and non-separable search landscapes with competitive outcomes. Moreover, the ABO algorithm was applied to solve over 100 out of the 118 benchmark symmetric and all the asymmetric travelling salesman’s problems available in TSPLIB95. Based on the successful experimentation with the novel algorithm, it is safe to conclude that the ABO is a worthy contribution to the scientific literature.
format Thesis
author Odili, Julius Beneoluchi
author_facet Odili, Julius Beneoluchi
author_sort Odili, Julius Beneoluchi
title The design and applications of the african buffalo algorithm for general optimization problems
title_short The design and applications of the african buffalo algorithm for general optimization problems
title_full The design and applications of the african buffalo algorithm for general optimization problems
title_fullStr The design and applications of the african buffalo algorithm for general optimization problems
title_full_unstemmed The design and applications of the african buffalo algorithm for general optimization problems
title_sort design and applications of the african buffalo algorithm for general optimization problems
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/19553/19/The%20design%20and%20applications%20of%20the%20african%20buffalo%20algorithm%20for%20general%20optimization%20problems.pdf
http://umpir.ump.edu.my/id/eprint/19553/
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score 13.211869

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