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A Chance and Control-Based Multi-Population Genetic Algorithm for Solving Large-Scale Multiple Sequence Alignment Problem.

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Bibliographic Details
Title: A Chance and Control-Based Multi-Population Genetic Algorithm for Solving Large-Scale Multiple Sequence Alignment Problem.
Authors: Hong J, Zhong J, Zhan ZH, Zhang J
Source: IEEE transactions on computational biology and bioinformatics [IEEE Trans Comput Biol Bioinform] 2026 May-Jun; Vol. 23 (3), pp. 1064-1078.
Publication Type: Journal Article
Journal Info: Publisher: IEEE Country of Publication: United States NLM ID: 9919068173606676 Publication Model: Print Cited Medium: Internet ISSN: 2998-4165 (Electronic) Linking ISSN: 29984165 NLM ISO Abbreviation: IEEE Trans Comput Biol Bioinform Subsets: MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.1109/TCBBIO.2026.3664445
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      – Code: eng
        Text: English
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        StartPage: 1064
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      – TitleFull: A Chance and Control-Based Multi-Population Genetic Algorithm for Solving Large-Scale Multiple Sequence Alignment Problem.
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            NameFull: Hong J
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            NameFull: Zhong J
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              Text: 2026 May-Jun
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              Y: 2026
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