Improving Efficiency of the Genetic Algorithm Feature Selection with Dynamic Programming

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Τίτλος: Improving Efficiency of the Genetic Algorithm Feature Selection with Dynamic Programming
Συγγραφείς: Yaicharoen, Auapong, Mai, Nghia Thi, Hashikura, Kotaro, Kamal, MD Abdus Samad, Murakami, Iwanori, Yamada, Kou
Πηγή: 2025 22nd International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2025 22nd International Conference on. :1-6 May, 2025
Relation: 2025 22nd International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
Βάση Δεδομένων: IEEE Xplore Digital Library
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