Title: Teaching learning-based optimisation algorithm: a survey

Authors: Ruchi Mishra; Nirmala Sharma; Harish Sharma

Addresses: Department of Computer Science and Engineering, Rajasthan Technical University, Kota, India ' Department of Computer Science and Engineering, Rajasthan Technical University, Kota, India ' Department of Computer Science and Engineering, Rajasthan Technical University, Kota, India

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.

DOI: 10.1504/IJSI.2020.111164

International Journal of Swarm Intelligence, 2020 Vol.5 No.2, pp.153 - 181

Received: 26 Jan 2019
Accepted: 05 May 2019
Published online: 12 Nov 2020 *

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