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2020 | OriginalPaper | Chapter

Effect of Combining Teaching Learning-Based Optimization (TLBO) with Different Search Techniques

Authors : Jaydeep Patel, Vimal Savsani, Vivek Patel

Published in: Reliability and Risk Assessment in Engineering

Publisher: Springer Singapore

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Abstract

This paper investigates the effect to ensemble teaching learning-based optimization (TLBO) with other meta-heuristics methods like artificial bee colony (ABC), biogeography-based optimization (BBO), differential evolution (DE) and genetic algorithm (GA). Three different schemes to generate sub-population from the main population are proposed, and the effect of migration of solutions from one sub-population to the other is also explored. The experiments are performed on different unconstrained and constrained benchmark optimization problems. The results are investigated using the statistical test like Friedman rank test and Holm-Sidak post hoc test. The results reveal that the ensemble of different optimization methods is effective than the basic algorithms.

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Metadata
Title
Effect of Combining Teaching Learning-Based Optimization (TLBO) with Different Search Techniques
Authors
Jaydeep Patel
Vimal Savsani
Vivek Patel
Copyright Year
2020
Publisher
Springer Singapore
Book
Reliability and Risk Assessment in Engineering

Print ISBN: 978-981-15-3745-5

Electronic ISBN: 978-981-15-3746-2

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-3746-2_33