Social group optimization: a-state-of-the-art review

Human behaviour-based meta-heuristic optimization algorithms have been prominent in the field of optimization and have gained significance with their simplicity, robust performance, relatively low number of algorithm-specific parameters and ease of implementation to multi-disciplinary problems compa...

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Veröffentlicht in:	Multimedia tools and applications Jg. 84; H. 30; S. 37215 - 37310
Hauptverfasser:	Reddy, Aala Kalananda Vamsi Krishna, Narayana, Komanapalli Venkata Lakshmi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.09.2025 Springer Nature B.V
Schlagworte:	Algorithms Communications systems Computer Communication Networks Computer Science Convergence Critical path Data Structures and Information Theory Engineering Entrapment Exploitation Foraging behavior Genetic algorithms Heuristic Heuristic methods Improvisation Multimedia Information Systems Optimization Optimization techniques Paradigms Parameter robustness Researchers Robustness Special Purpose and Application-Based Systems State-of-the-art reviews Teaching Tuning Human behaviour based-meta heuristic optimization Modified Social Group Optimization (MSGO) Social Group Optimization (SGO) Greedy selection Acquiring phase Applications of SGO Improved Social Group Optimization (ISGO) Review of SGO Multi-objective Social Group Optimization (MOSGO) Improving phase
ISSN:	1573-7721, 1380-7501, 1573-7721
Online-Zugang:	Volltext
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