Brain storming incorporated teaching-learning-based algorithm with application to electric power dispatch

Abstract

This paper intends to incorporate a brain storming mechanism into the existing Teaching-Learning-Based Optimization (TLBO) algorithm. The potential solutions of TLBO evolve using the primitive steps that are maintained between the acts of teaching and learning. Another novel algorithm, Brain Storm Optimization (BSO) sticks to the philosophy of interchange of ideas by a team to develop as a whole. The brain storming methods from BSO are introduced into the working of TLBO and applied to a well-studied electric power dispatch problem of high intricacy. The results are compared to best of the existing solutions to demonstrate the efficacy of the proposed hybrid algorithm. © 2012 Springer-Verlag.