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A Comparison of Binary and Integer Encodings in Genetic Algorithms for the Maximum <i>k</i>-Coverage Problem with Various Genetic Operators.

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第一作者： Yoon,Choi

第一单位： Department of Computer Science, Yonsei University, 50 Yonsei-ro, Seodaemoon-gu, Seoul 03722, Republic of Korea.

作者： Yoon,Choi ^[1] ; Jingeun,Kim ^[2] ; Yourim,Yoon ^[3]

作者单位： Department of Computer Science, Yonsei University, 50 Yonsei-ro, Seodaemoon-gu, Seoul 03722, Republic of Korea. ^[1] Department of IT Convergence Engineering, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Gyeonggi-do, Republic of Korea. ^[2] Department of Computer Engineering, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Gyeonggi-do, Republic of Korea. ^[3]

关键词 binary encoding combinatorial optimization genetic algorithm integer encoding maximum k-coverage problem

DOI 10.3390/biomimetics10050274

PMID 40422104

发布时间 2025-05-30

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Biomimetics (Basel, Switzerland)

2025年10卷5期

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A Comparison of Binary and Integer Encodings in Genetic Algorithms for the Maximum <i>k</i>-Coverage Problem with Various Genetic Operators.

Biomimetics (Basel, Switzerland)

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A Comparison of Binary and Integer Encodings in Genetic Algorithms for the Maximum <i>k</i>-Coverage Problem with Various Genetic Operators.

Biomimetics (Basel, Switzerland)

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Biomimetics (Basel, Switzerland)

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