Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Broderick CR"'
Publikováno v:
IEEE Access, Vol 12, Pp 116530-116545 (2024)
Bridges are exposed daily to environmental and operational factors that may cause weariness, fatigue, and damage. Continuous structural health monitoring (SHM) has been crucial to ensuring public safety, preventing accidents, and avert costly damages
Externí odkaz:
https://doaj.org/article/7bccc09dcca3440da314a8e1c11b2c8a
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:
Biomimetics, Vol 9, Iss 5, p 283 (2024)
The set-covering problem aims to find the smallest possible set of subsets that cover all the elements of a larger set. The difficulty of solving the set-covering problem increases as the number of elements and sets grows, making it a complex problem
Externí odkaz:
https://doaj.org/article/0812a8366ecc4af3aada3cc0fe454ebd
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:
Marcelo Becerra-Rozas, Broderick Crawford, Ricardo Soto, El-Ghazali Talbi, Jose M. Gómez-Pulido
Publikováno v:
Biomimetics, Vol 9, Iss 2, p 89 (2024)
In this study, we introduce an innovative policy in the field of reinforcement learning, specifically designed as an action selection mechanism, and applied herein as a selector for binarization schemes. These schemes enable continuous metaheuristics
Externí odkaz:
https://doaj.org/article/b8cc776203284f8386f6e63ce712eb9d
Publikováno v:
IEEE Access, Vol 11, Pp 91913-91936 (2023)
Data networks and computing devices have experienced exponential growth. Within a short span of time, they have opened new digital frontiers while also bringing forth new threats. These threats have the potential to increase costs and disrupt regular
Externí odkaz:
https://doaj.org/article/9db9c1d03f2a4e76a59d3fd8a2f13b09
Autonomous Parameter Balance in Population-Based Approaches: A Self-Adaptive Learning-Based Strategy
Autor:
Emanuel Vega, José Lemus-Romani, Ricardo Soto, Broderick Crawford, Christoffer Löffler, Javier Peña, El-Gazhali Talbi
Publikováno v:
Biomimetics, Vol 9, Iss 2, p 82 (2024)
Population-based metaheuristics can be seen as a set of agents that smartly explore the space of solutions of a given optimization problem. These agents are commonly governed by movement operators that decide how the exploration is driven. Although m
Externí odkaz:
https://doaj.org/article/77278c5525bf49a79a95096118378657
Autor:
Felipe Cisternas-Caneo, Broderick Crawford, Ricardo Soto, Giovanni Giachetti, Álex Paz, Alvaro Peña Fritz
Publikováno v:
Mathematics, Vol 12, Iss 2, p 262 (2024)
Chaotic maps are sources of randomness formed by a set of rules and chaotic variables. They have been incorporated into metaheuristics because they improve the balance of exploration and exploitation, and with this, they allow one to obtain better re
Externí odkaz:
https://doaj.org/article/ea5809d780db41008aab2a9142b7a7a5
Autor:
Nicolás Caselli, Ricardo Soto, Broderick Crawford, Sergio Valdivia, Elizabeth Chicata, Rodrigo Olivares
Publikováno v:
Biomimetics, Vol 9, Iss 1, p 7 (2023)
In the optimization field, the ability to efficiently tackle complex and high-dimensional problems remains a persistent challenge. Metaheuristic algorithms, with a particular emphasis on their autonomous variants, are emerging as promising tools to o
Externí odkaz:
https://doaj.org/article/a33ef75a78944f94bbcca860b4693037
Autor:
José Barrera-García, Felipe Cisternas-Caneo, Broderick Crawford, Mariam Gómez Sánchez, Ricardo Soto
Publikováno v:
Biomimetics, Vol 9, Iss 1, p 9 (2023)
Feature selection is becoming a relevant problem within the field of machine learning. The feature selection problem focuses on the selection of the small, necessary, and sufficient subset of features that represent the general set of features, elimi
Externí odkaz:
https://doaj.org/article/4093d69cccab40bd93a730923a9eca45