Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Camilo Ravelo"'
Publikováno v:
Biomimetics, Vol 9, Iss 6, p 307 (2024)
In the complex and dynamic landscape of cyber threats, organizations require sophisticated strategies for managing Cybersecurity Operations Centers and deploying Security Information and Event Management systems. Our study enhances these strategies b
Externí odkaz:
https://doaj.org/article/d306c62f0be342e39ec977339dc634fe
Publikováno v:
Mathematics, Vol 12, Iss 8, p 1249 (2024)
Stagnation at local optima represents a significant challenge in bio-inspired optimization algorithms, often leading to suboptimal solutions. This paper addresses this issue by proposing a hybrid model that combines the Orca predator algorithm with d
Externí odkaz:
https://doaj.org/article/7fce1ec84d58446082a12b3637535652
Autor:
Rodrigo Olivares, Ricardo Soto, Broderick Crawford, Víctor Ríos, Pablo Olivares, Camilo Ravelo, Sebastian Medina, Diego Nauduan
Publikováno v:
Axioms, Vol 12, Iss 7, p 643 (2023)
This paper presents a set of adaptive parameter control methods through reinforcement learning for the particle swarm algorithm. The aim is to adjust the algorithm’s parameters during the run, to provide the metaheuristics with the ability to learn
Externí odkaz:
https://doaj.org/article/8ee9153d5ac149f59a8615134771ad35
Autor:
Nauduan, Rodrigo Olivares, Ricardo Soto, Broderick Crawford, Víctor Ríos, Pablo Olivares, Camilo Ravelo, Sebastian Medina, Diego
Publikováno v:
Axioms; Volume 12; Issue 7; Pages: 643
This paper presents a set of adaptive parameter control methods through reinforcement learning for the particle swarm algorithm. The aim is to adjust the algorithm’s parameters during the run, to provide the metaheuristics with the ability to learn