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Article

10 Citations

4,241 Views

40 Pages

Dynamical Sphere Regrouping Particle Swarm Optimization: A Proposed Algorithm for Dealing with PSO Premature Convergence in Large-Scale Global Optimization

Martín Montes Rivera,
Carlos Guerrero-Mendez,
Daniela Lopez-Betancur and
Tonatiuh Saucedo-Anaya

Mathematics2023, 11(20), 4339;https://doi.org/10.3390/math11204339

19 October 2023

Optimizing large-scale numerical problems is a significant challenge with numerous real-world applications. The optimization process is complex due to the multi-dimensional search spaces and possesses several locally optimal regions. In response to t...

(This article belongs to the Special Issue Advances and Trends in Mathematical Modelling, Design, Control and Identification of Modern Vibrating Energy Conversion Systems)

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Article

4 Citations

2,851 Views

53 Pages

Dynamical Sphere Regrouping Particle Swarm Optimization Programming: An Automatic Programming Algorithm Avoiding Premature Convergence

Martín Montes Rivera,
Carlos Guerrero-Mendez,
Daniela Lopez-Betancur and
Tonatiuh Saucedo-Anaya

Mathematics2024, 12(19), 3021;https://doi.org/10.3390/math12193021

27 September 2024

Symbolic regression plays a crucial role in machine learning and data science by allowing the extraction of meaningful mathematical models directly from data without imposing a specific structure. This level of adaptability is especially beneficial i...

(This article belongs to the Section E1: Mathematics and Computer Science)

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