Confluence metaheuristic: a novel initialization strategy for metaheuristic algorithms

Metaheuristics represent an evolving problem-solving methodology that has proven to be effective in addressing optimization problems across various fields. Over the years, researchers have continuously strived to enhance the framework of metaheuristics in order to broaden their applicability, bolste...

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Bibliographic Details
Published in:	Evolving systems Vol. 15; no. 2; pp. 429 - 454
Main Authors:	Kaushik, Deepika, Nadeem, Mohammad
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2024 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Complex Systems Complexity Creeks & streams Engineering Genetic algorithms Heuristic methods Optimization Original Paper Particle swarm optimization Problem solving Sensitivity analysis Statistical analysis Streams Metaheuristics Confluence Particle swarm optimization Optimization Genetic Algorithm
ISSN:	1868-6478, 1868-6486
Online Access:	Get full text
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