Hybridization of data-driven threshold algorithm with fuzzy particle swarm optimization technique for gene selection in microarray data

Adebayo, Paul Olujide; Jimoh, Rasheed Gbenga; Yahya, Waheed Babatunde

doi:10.1016/j.sciaf.2023.e02012

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2024

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Cited by 3 publications

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Feature Selection for High-Dimensional Gene Expression Data: A Review

Baali,

Hamim,

Moutachaouik

et al. 2024

Communications in Computer and Information Science

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Feature Selection for High-Dimensional Gene Expression Data: A Review

Baali,

Hamim,

Moutachaouik

et al. 2024

Communications in Computer and Information Science

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A graph partitioning-based hybrid feature selection method in microarray datasets

Oubaouzine,

Ouaderhman,

Chamlal

2024

Knowl Inf Syst

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The confluence of PSO and MDO: a bibliometric perspective

Obaideen,

AlShabi,

Bettayeb

et al. 2024

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI

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This paper presents a thorough investigation into the convergence of Particle Swarm Optimization (PSO) and Multi-Disciplinary Design Optimization (MDO), two pivotal methodologies in the realm of computational optimization. By harnessing the strengths of PSO's heuristic search capabilities and MDO's integrative design approach, this study explores the synergistic potential of combining these methods to tackle complex optimization challenges. Through a systematic literature review and bibliometric analysis, we delve into the evolution, methodologies, applications, and outcomes of this interdisciplinary integration, drawing from a diverse array of scholarly works. Our analysis reveals a growing trend in the application of PSO within MDO frameworks, highlighting significant advancements, identifying gaps in the current literature, and suggesting fruitful directions for future research. The findings underscore the robustness and adaptability of PSO-MDO integration across various domains, offering insights into its potential to enhance optimization practices and contribute to the advancement of engineering and technology. This study not only charts the current landscape of PSO and MDO convergence but also sets the groundwork for future explorations in this promising research domain.

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Hybridization of data-driven threshold algorithm with fuzzy particle swarm optimization technique for gene selection in microarray data

Cited by 3 publications

References 58 publications

Feature Selection for High-Dimensional Gene Expression Data: A Review

Feature Selection for High-Dimensional Gene Expression Data: A Review

A graph partitioning-based hybrid feature selection method in microarray datasets

The confluence of PSO and MDO: a bibliometric perspective

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