A Holistic Review of Soft Computing Techniques
Applied and Computational Mathematics
Volume 6, Issue 2, April 2017, Pages: 93-110
Received: Feb. 15, 2017; Accepted: Mar. 17, 2017; Published: Apr. 10, 2017
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Authors
Philip O. Omolaye, Department of Electrical and Electronics Engineering, University of Agriculture, Makurdi, Nigeria
Joseph M. Mom, Department of Electrical and Electronics Engineering, University of Agriculture, Makurdi, Nigeria
Gabriel A. Igwue, Department of Electrical and Electronics Engineering, University of Agriculture, Makurdi, Nigeria
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Abstract
Due to notable technological convergence that brought about exponential growth in computer world, Soft Computing (SC) has played a vital role with automation capability features to new levels of complex applications. In this research paper, the authors reviewed journals related to the subject matter with the aim of striking a convincing balance between a system that is capable of tolerance to uncertainty, imprecision, approximate reasoning and partial truth to achieve tractability, robustness, economy of communication, high machine intelligence quotient (MIQ), low cost solution and better rapport with reality to conventional techniques. This paper gives an insight on four major consortiums of SC that sprang from the concept of cybernetics, explores and reviews the different techniques, methodologies; application areas and algorithms are formulated to give an idea on how these computing techniques are applied to create intelligent agents to solve a variety of problems. The mechanisms highlighted can serve as an inspiration platform and awareness to new and old researchers that are not or fully grounded in this unique area of research and to create avenue in order to fully embrace the techniques in research communities.
Keywords
Machine Intelligence, Soft Computing, Hard Computing, Hybrid Computing, Neural Network, Fuzzy Logic, Evolutionary Computation, Ant Colony Algorithm
To cite this article
Philip O. Omolaye, Joseph M. Mom, Gabriel A. Igwue, A Holistic Review of Soft Computing Techniques, Applied and Computational Mathematics. Vol. 6, No. 2, 2017, pp. 93-110. doi: 10.11648/j.acm.20170602.15
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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