Cooperative Teaching-Learning Based Optimisation for Global Function Optimisation

摘要

The leaching-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.