Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems

4,674 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Equilibrium optimizer: A novel optimization algorithm (2020, neutral): “Another human-based algorithm is the Teaching-Learning-Based Optimization (TLBO), which is inspired by the influence of a teacher on learners [20].”
The Arithmetic Optimization Algorithm (2021, methodology): “Another algorithm in this group is the Teaching–Learning-Based Optimization Algorithm [29].”
Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications (2022, methodology): “In TLBO, population members are updated under teacher training and transfer their information to each other [14].”
Prairie Dog Optimization Algorithm (2022, background): “Human activity-based algorithms are inspired by human-invented activities such as teaching–learning-based optimization [40] and the impe-rialist competitive algorithm [41].”
Multi-objective optimization of combined Brayton and inverse Brayton cycles using advanced optimization algorithms (2012, background): “Teaching-learning-based optimization (TLBO) TLBO is a teaching-learning process inspired algorithm proposed by Rao et al. (2011) based on the effect of influence of a teacher on the output of learners in a class.”