Improved Teaching-Learning-Based Optimization Algorithm

Abstract

To improve the optimization performance of the TLBO algorithm for global optimization problem, an improved TLBO (ITLBO) algorithm with new learning scheme is proposed in this paper. In the learner phase, a no-best student learns from a random selected excellent student or an excellent student learns from teacher again according the fitness of the two mutual learners. To evaluate the performance of the proposed ITLBO algorithm, comparison with TLBO algorithm, several TLBO variants (A- TLBO, WTLBO, OTLBO, TLBO-GC) for the problem is carried out. Finally, Numerical results show that the proposed algorithm is an effective method for global optimization problems.