Aphid-ant mutualism: a novel nature-inspired metaheuristic algorithm for solving optimization problems

DOI10.1016/J.MATCOM.2022.05.015OpenAlexW4293147214WikidataQ113869140 ScholiaQ113869140MaRDI QIDQ2146700

Yanyan Li

Publication date: 21 June 2022

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2022.05.015

zbMATH Keywords

optimizationswarm intelligencepopulation-based algorithmadaptive search strategyaphid-ant mutualismnature-inspired metaheuristic

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Operations research, mathematical programming (90-XX)

Related Items (3)

Multi-sample learning particle swarm optimization with adaptive crossover operation ⋮ Orchard algorithm (OA): a new meta-heuristic algorithm for solving discrete and continuous optimization problems ⋮ Leopard seal optimization (LSO): a natural inspired meta-heuristic algorithm

Uses Software

• MCPSO
• Honey badger algorithm
• SSA
• WOA
• ALO
• GOA

Cites Work

• MCPSO: a multi-swarm cooperative particle swarm optimizer
• Rethinking the logistic approach for population dynamics of mutualistic interactions
• Ant colony optimization theory: a survey
• Honey badger algorithm: new metaheuristic algorithm for solving optimization problems
• Advances in Metaheuristic Algorithms for Optimal Design of Structures

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