Aphid–Ant Mutualism: A novel nature-inspired​ metaheuristic algorithm for solving optimization problems

Swarm intelligence algorithms, which are developed for solving complex optimization problems designed by focusing on simulating the social behavior of one species of simple animals. However, simple animals utilize cooperation to work together that result in more complex and smarter behaviors. This p...

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Veröffentlicht in:	Mathematics and computers in simulation Jg. 201; S. 362 - 395
Hauptverfasser:	Eslami, N., Yazdani, S., Mirzaei, M., Hadavandi, E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2022
Schlagworte:	Adaptive search strategy Aphid–Ant Mutualism Nature-inspired metaheuristic Optimization Population-based​ algorithm Swarm intelligence Adaptive search strategy Aphid–Ant Mutualism Swarm intelligence Nature-inspired metaheuristic Optimization Population-based​ algorithm
ISSN:	0378-4754
Online-Zugang:	Volltext
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