Quantum Computing and Adaptive Mechanism-Based Bounty Hunter Optimizer for Numerical Optimization and Bankruptcy Prediction

To improve the optimization performance of the original Bounty Hunter Optimizer (BHO) in complex search environments, this paper proposes a quantum computing and adaptive mechanism-based BHO, named QCAMBHO. The proposed algorithm integrates three complementary strategies: quantum-computing-enhanced...

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Auteurs principaux:	Haoyuan He, Mingyang Yu
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2026-07-01
Collection:	Mathematics
Sujets:	Bounty Hunter Optimizer quantum-computing enhancement adaptive mechanism numerical optimization enterprise bankruptcy prediction Kernel Extreme Learning Machine
Accès en ligne:	https://www.mdpi.com/2227-7390/14/13/2362
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