Evolutionary Computation in bioinformatics: A survey

Bioinformatics is a subject that studies life phenomena by using mathematical and information science theories and techniques. Its main tasks, such as DNA sequence comparison, protein structure prediction and cell metabolism analysis, can be regarded as complex optimization problems with different c...

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Veröffentlicht in:Neurocomputing (Amsterdam) Jg. 591; S. 127758
Hauptverfasser: Zhang, Yanyun, Cheng, Li, Chen, Guanyu, Alghazzawi, Daniyal
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 28.07.2024
Schlagworte:
Bioinformatics
Evolutionary algorithm
Evolutionary Computation
Multi-objectives optimization
Single-objective optimization
Multi-objectives optimization
Evolutionary Computation
Bioinformatics
Evolutionary algorithm
Single-objective optimization
ISSN:0925-2312, 1872-8286
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Zusammenfassung:Bioinformatics is a subject that studies life phenomena by using mathematical and information science theories and techniques. Its main tasks, such as DNA sequence comparison, protein structure prediction and cell metabolism analysis, can be regarded as complex optimization problems with different characteristics. Evolutionary computing is a kind of global optimization algorithm inspired by nature. Over the years, scholars have accumulated fruitful results in solving complex optimization problems such as large-scale, dynamic, multi-modal, multi-objective and multi-constrained problems by using Evolutionary Computation algorithms, and have successfully applied to the above optimization tasks in bioinformatics. This paper mainly summarizes the work of Evolutionary Computation technologies in bioinformatics from 2019 to 2023 at multiple levels, including Genomics, Proteomics, metabolomics and molecular networks related optimization tasks, as well as further applications in disease diagnosis and drug development. •Recent works on Evolutionary Computation technologies in Bioinformatics from 2019 to 2023.•Optimization tasks in Bioinformatics from genotype to phenotype.•Evolutionary Computation technologies from Genomics, Proteomics, Metabolomics and Molecular Networks level respectively.•Downstream applications such as disease diagnosis and drug discovery.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2024.127758