gHPCSO: Gaussian Distribution Based Hybrid Particle Cat Swarm Optimization for Linear B-cell Epitope Prediction

Angaitkar, Pratik; Janghel, Rekh Ram; Sahu, Tirath Prasad

doi:10.1007/s41870-023-01294-8

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Cat Swarm Optimization For Covid-191

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2023

2024

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Cited by 2 publications

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“…Similar to drug discovery, CSO can aid in the selection of antigen sequences for COVID-19 vaccines. It optimizes the choice of epitopes or antigens to create a vaccine that triggers a robust immune response [35]. CSO-based algorithms systematically search through antigen combinations to design vaccines that are more effective at inducing immunity against the virus.…”

Section: Cat Swarm Optimization For Covid-19mentioning

confidence: 99%

Global Optimization Theories and Techniques for COVID-19

Wang,

Wen,

2023

Preprint

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As the COVID-19 pandemic has caused enormous damage to society, economy and public health security, it is crucial to combat the epidemic and allocate social and health resources effectively. Global optimization algorithms are extensively used in many domains to find optimal solutions to complex problems. Thus, a survey of three typical global optimizations applied on the COVID-19 pandemic is timely. This article is structured into three typical global optimization algorithms - Genetic Algorithm, Particle Swarm Optimization, and Cat Swarm Optimization - and summarizes the framework models and practical applications, as well as other optimization methods that may be applied to COVID-19. Finally, current unresolved challenges and future research opportunities to be explored are summarized.

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Section: Cat Swarm Optimization For Covid-19mentioning

confidence: 99%