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Application of Fireworks Algorithm in Bioinformatics
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Author(s): Yuchen Zhang (School of Computer Science, Shaanxi Normal University, China), Xiujuan Lei (School of Computer Science, Shaanxi Normal University, China)and Ying Tan (Peking University, China)
Copyright: 2020
Pages: 30
Source title:
Handbook of Research on Fireworks Algorithms and Swarm Intelligence
Source Author(s)/Editor(s): Ying Tan (Peking University, China)
DOI: 10.4018/978-1-7998-1659-1.ch011
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Abstract
Fireworks Algorithm (FWA) has been applied to many fields in recent years, showing a strong ability to solve optimization problems. In this chapter, FWA is applied to some research hotspots in bioinformatics, such as biclustering of gene expression data, disease-gene prediction, and identification of LncRNA-protein interactions. This chapter briefly introduces some backgrounds of bioinformatics and related issues. Through corresponding bioinformatics' problems to optimization problems, some specific optimization functions are constructed and solved by the Fireworks Algorithm. The simulation results illustrate that the fireworks algorithm shows high performance and potential application value in the field of bioinformatics.
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