TEACHING LEARNING BASED OPTIMIZATION APPLIED TO MECHANICAL CONSTRAINED DESIGN PROBLEMS
Author(s):
DHEARENDRA GARG, Dr. Ashutosh Dwivedi
Keywords:
Optimization, TLBO (Teaching–Learning–Based Optimization), MATLAB, mechanically constrained
Abstract
A new efficient optimization method for mechanical design optimization is developed in this paper, TLBO (Teaching–Learning–Based Optimization). Focuses on how a teacher's influence on pupils. The TLBO algorithm follows in the footsteps of other algorithms inspired by nature and based on populations of solutions to arrive at a global solution. The population refers to all the pupils in a certain class. As part of the TLBO technique, there are two phases: one for the teacher and one for the learner. The "Teacher Phase" and "Learner Phase" are two separate stages of learning. All the TLBO method's basic ideas are laid out in detail. The approach's efficacy is investigated using five separate limited benchmark test functions, four distinct benchmark mechanical design difficulties, and six real-world optimization issues. Efficiencies such as best solution, average solution, convergence rate and computational effort are all considered when comparing it to other population-based optimization techniques. It is presented in this paper that TLBO was more effective than other optimization methods in tackling the mechanical design optimization difficulties under investigation. Engineers may be able to use this new method of optimization to solve additional optimization problems. For the optimization problem, MATLAB code is utilized to provide an optimized strategy for teaching and learning based on an evolutionary algorithm that simulates the teaching– learning phenomena that occur in classrooms. The mechanically constrained design (TLBO) method is investigated in this work, which studies analysis methods.
Article Details
Unique Paper ID: 162306

Publication Volume & Issue: Volume 10, Issue 9

Page(s): 140 - 149
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers