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

Authors:
K. R. Ramanand;K. R. Krishnanand;Bijaya Ketan Panigrahi;Manas Kumar Mallick
Affiliations:
Electrical and Electronics Engineering Dept., MEA Engineering College, Malappuram, India;Multi---Disciplinary Research Cell, Siksha ‘O' Anusandhan University, Bhubaneswar, India;Department of Electrical Engineering, Indian Institute of Technology, Delhi, India;Department of Computer Science and Engineering, ITER, Siksha ‘O' Anusandhan University, Bhubaneswar, India
Venue:
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Year:
2012

Citing 4
Cited 1

Handbook of Evolutionary Computation

Handbook of Evolutionary Computation
Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems

Computer-Aided Design
Dynamic economic load dispatch using hybrid swarm intelligence based harmony search algorithm

Expert Systems with Applications: An International Journal
Application of multi-objective teaching-learning-based algorithm to an economic load dispatch problem with incommensurable objectives

SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I

Multi-Objective Optimization Based on Brain Storm Optimization Algorithm

International Journal of Swarm Intelligence Research

Quantified Score

Hi-index	0.00

Visualization

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.