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International Journal of Applied Research on Information Technology and Computing
Year : 2013, Volume : 4, Issue : 1
First page : ( 1) Last page : ( 17)
Print ISSN : 0975-8070. Online ISSN : 0975-8089.
Article DOI : 10.5958/j.0975-8089.4.1.001

Cooperative Teaching–Learning Based Optimisation for Global Function Optimisation

Satapathy Suresh Chandra1, Naik Anima2

1Senior Member IEEE, Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences (ANITS), Vishakhapatnam-531162, India. email: sureshsatapathy@ieee.org

2Department of Computer Science and Engineering, Majhighariani Institute of Technology and Sciences (MITS), Sriram Vihar, Rayagada-765017, Orissa, India. email: anmianaik@gmail.com

Online published on 17 May, 2013.

Abstract

The teaching–learning based optimisation (TLBO) is recently being used as a new, reliable, accurate and robust optimisation technique for global optimisation over continuous spaces. This paper presents a variation on the traditional TLBO algorithm, called the Cooperative Teaching– Learning Based Optimizar, or CoTLBO, employing cooperative behaviour to significantly improve the performance of the original algorithm. This is achieved using multiple swarms to optimise different components of the solution vector cooperatively. Application of the new TLBO algorithm on several benchmark optimisation problems shows a marked improvement in performance over the traditional TLBO algorithm.

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Keywords

Convergence Behaviour, Cooperative Learning, Cooperative Swarms, TLBO.

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