Research Area:  Metaheuristic Computing

Abstract:

In recent years swarm intelligence (SI)-based techniques have proven their importance for finding the solution of global optimisation problems. In SI-based algorithms agents act in a group and learn from each other for food foraging surviving, etc. Teaching-learning-based optimisation algorithm (TLBOA) is an efficient approach of dealing with linear, nonlinear and multi-dimensional optimisation problems established by Dr. R. Venkata Rao in 2011. Since its inception, a lot of research has been carried out to make TLBOA more proficient and to apply it to different types of optimisation problems. This paper presents a review of TLBOA developments, applications, comparative-performance, and future research perspectives.

Keywords:  
teaching learning-based optimisation
nature-inspired algorithm
swarm intelligence-based algorithm
optimisation

Author(s) Name:  Ruchi Mishra, Nirmala Sharma and Harish Sharma

Publisher name:  InderScience

DOI:  10.1504/IJSI.2020.111164

Volume Information:  Volume 5

Paper Link:   https://www.inderscienceonline.com/doi/abs/10.1504/IJSI.2020.111164