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Solving nonlinear engineering problems using UFIA: A social inspired metaheuristic algorithm
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DOI：10.1016/j.chaos.2026.117876.png)
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Abstract
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• Models learning behaviour of children living in an undivided family. • Evaluated on 119 challenging benchmark functions, including recent CEC suites. • Achieves high-quality solutions on ten engineering and two power system domain problems. • Outperforms established metaheuristics under rigorous experimental studies. • Efficacy is verified using Wilcoxon and Friedman mean rank tests on all result sets.
Keywords:
UFIA
social-inspired metaheuristic
nonlinear engineering problems
benchmark functions
CEC suites
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851
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