An Improved Teaching-Learning-Based Optimization Algorithm with Memetic method for global optimization

Teaching-Learning-Based Optimization algorithm (TLBO) is a new intelligence algorithm that is inspired by teaching and learning mechanism from a very common phenomenon in reality. It has good performance and no parameters to control. In this paper, we propose an Improved Teaching-Learning-Based Optimization algorithm with Memetic method(ITLBO-M).Memetic method increases the global exploring ability and one-to-one teaching method imporve the local search ability.The effectiveness of the method is tested on many benchmark functions and the results are compared with other algorithms including PSO,SFLA,DE and TLBO. The experimental results show that ITLBO-M has not only a promising performance of searching for accurate solutions, but also a fast convergence rate .

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