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The Ethereal
Image Classification Method using Dynamic Quantum Inspired Genetic Algorithm
January 20, 2025 ยท Declared Dead ยท + Add venue
"No code URL or promise found in abstract"
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Authors
Akhilesh Kumar Singh, Kirankumar R. Hiremath
arXiv ID
2501.11477
Category
cs.NE: Neural & Evolutionary
Citations
0
Last Checked
4 months ago
Abstract
This study presents a dynamic Quantum-Inspired Genetic Algorithm (D-QIGA) for feature selection, leveraging quantum principles like superposition and rotation gates to enhance exploration and exploitation. D-QIGA introduces adaptive mechanisms and a lengthening chromosome strategy to avoid local optima and improve optimization. Tested on benchmark and real-world problems, it significantly outperforms traditional Genetic Algorithms, achieving over 99.99% classification accuracy compared to GA's 95%.
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