A review of classical methods and Nature-Inspired Algorithms (NIAs) for optimization problems

Optimization techniques are among the most promising methods to deal with real-world problems, consisting of several objective functions and constraints. Over the decades, many methods have come into existence to solve optimization problems. However, the complexity of these problems is increasing ov...

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Bibliographic Details

Published in:	Results in control and optimization Vol. 13; p. 100315
Main Author:	Mandal, Pawan Kumar
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2023 Elsevier
Subjects:	Classical optimization methods Evolutionary Algorithms (EAs) Linear Progrmming (LP) Mixed Integer Programming (MIP) Nature-Inspired Algorithms (NIAs) Quadratic Programming (QP) Swarm Intelligence (SI) based algorithms Linear Progrmming (LP) Swarm Intelligence (SI) based algorithms Classical optimization methods Quadratic Programming (QP) Nature-Inspired Algorithms (NIAs) Evolutionary Algorithms (EAs) Mixed Integer Programming (MIP)
ISSN:	2666-7207, 2666-7207
Online Access:	Get full text
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