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2019 | OriginalPaper | Buchkapitel

2. Jaya Optimization Algorithm and Its Variants

verfasst von : Ravipudi Venkata Rao

Erschienen in: Jaya: An Advanced Optimization Algorithm and its Engineering Applications

Verlag: Springer International Publishing

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Abstract

This chapter presents the details of TLBO algorithm, NSTLBO algorithm, Jaya algorithm and its variants named as Self-Adaptive Jaya, Quasi-Oppositional Jaya, Self-Adaptive Multi-Population Jaya, Self-Adaptive Multi-Population Elitist Jaya, Chaos Jaya, Multi-Objective Jaya, and Multi-Objective Quasi-Oppositional Jaya. Suitable examples are included to demonstrate the working of Jaya algorithm and its variants for the unconstrained and constrained single and multi-objective optimization problems. Three performance measures of coverage, spacing and hypervolume are also described to assess the performance of the multi-objective optimization algorithms.

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Vorheriges Kapitel Introduction

Nächstes Kapitel Application of Jaya Algorithm and Its Variants on Constrained and Unconstrained Benchmark Functions

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Titel: Jaya Optimization Algorithm and Its Variants
verfasst von: Ravipudi Venkata Rao
Verlag: Springer International Publishing
Buch: Jaya: An Advanced Optimization Algorithm and its Engineering Applications
Print ISBN: 978-3-319-78921-7

Electronic ISBN: 978-3-319-78922-4

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-319-78922-4_2

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