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Year : 2013, Volume : 4, Issue : 1
First page : ( 1) Last page : ( 17)
Print ISSN : 2249-3212. Online ISSN : 0975-8089. Published online : 2013 April 1.
Article DOI : 10.5958/j.0975-8089.4.1.001

Cooperative Teaching–Learning Based Optimisation for Global Function Optimisation

Suresh Chandra Satapathy1,*, Anima Naik2,**

1Senior Member IEEE, Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences (ANITS), Vishakhapatnam-531162, India

2Department of Computer Science and Engineering, Majhighariani Institute of Technology and Sciences (MITS), Sriram Vihar, Rayagada-765017, Orissa, India

*Email id: *sureshsatapathy@ieee.org



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.



Convergence Behaviour, Cooperative Learning, Cooperative Swarms, TLBO.


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