Solving nonlinear engineering problems using UFIA: A social inspired metaheuristic algorithm

doi:10.1016/j.chaos.2026.117876

Solving nonlinear engineering problems using UFIA: A social inspired metaheuristic algorithm

2026-02-04

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DOI：10.1016/j.chaos.2026.117876

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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

Solving nonlinear engineering problems using UFIA: A social inspired metaheuristic algorithm

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