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A low-level teamwork hybrid model based swarm intelligent algorithm for engineering design optimization
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DOI：10.1016/j.cma.2025.118317.png)
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Abstract
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• A new low level teamwork hybrid model based WIFN algorithm is proposed. • A new stagnation phase is added to overcome local optima stagnation problem. • The algorithm is successfully tested on CEC 2014, CEC 2017, CEC 2019 and CEC 2020 benchmarks. • WIFN is analyzed for constrained engineering design and image thresholding problems. • Experiments and statistical results show that WIFN is efficient and effective.
Keywords:
Numerical optimization
Multi-hybrid algorithm
Image thresholding
Self-adaptivity
Naked mole rat algorithm
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