An adaptive inertia weight teaching-learning-based optimization algorithm and its applications

This paper presents an effective metaheuristic algorithm called teaching learning-based optimization which is widely applied to solve the various real-world optimization problems. However, teaching learning-based optimization is rapidly trapped into local optima. To handle this kind of problem, we p...

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Bibliographic Details

Published in:	Applied Mathematical Modelling Vol. 77; p. 309
Main Authors:	Shukla, Alok Kumar, Singh, Pradeep, Vardhan, Manu
Format:	Journal Article
Language:	English
Published:	New York Elsevier BV 01.01.2020
Subjects:	Accuracy Adaptive algorithms Classification Datasets Gene expression Heuristic methods Inertia Machine learning Optimization Optimization algorithms Probability distribution functions Weight
ISSN:	1088-8691, 0307-904X
Online Access:	Get full text
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