Search Results - "Crawford, Broderick"

Putting Continuous Metaheuristics to Work in Binary Search Spaces by Castro, Carlos, García, José, Astorga, Gino, Soto, Ricardo, Crawford, Broderick, Paredes, Fernando

“…In the real world, there are a number of optimization problems whose search space is restricted to take binary values; however, there are many continuous…”
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An integral cybersecurity approach using a many-objective optimization strategy by Salinas, Omar, Soto, Ricardo, Crawford, Broderick, Olivares, Rodrigo

“…Data networks and computing devices have experienced exponential growth. Within a short span of time, they have opened new digital frontiers while also…”
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Application of the Artificial Bee Colony Algorithm for Solving the Set Covering Problem by Paredes, Fernando, Cuesta, Rodrigo, Soto, Ricardo, Crawford, Broderick

“…The set covering problem is a formal model for many practical optimization problems. In the set covering problem the goal is to choose a subset ofthe columns…”
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Escaping Stagnation through Improved Orca Predator Algorithm with Deep Reinforcement Learning for Feature Selection by Olivares, Rodrigo, Ravelo, Camilo, Soto, Ricardo, Crawford, Broderick

“…Stagnation at local optima represents a significant challenge in bio-inspired optimization algorithms, often leading to suboptimal solutions. This paper…”
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Human Behaviour Based Optimization Supported With Self-Organizing Maps for Solving the S-Box Design Problem by Soto, Ricardo, Crawford, Broderick, Molina, Francisco Gonzalez, Olivares, Rodrigo

“…The cryptanalytic resistance of modern block and stream encryption systems mainly depends on the substitution box (S-box). In this context, the problem is thus…”
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Enhancing the Efficiency of a Cybersecurity Operations Center Using Biomimetic Algorithms Empowered by Deep Q-Learning by Olivares, Rodrigo, Salinas, Omar, Ravelo, Camilo, Soto, Ricardo, Crawford, Broderick

“…In the complex and dynamic landscape of cyber threats, organizations require sophisticated strategies for managing Cybersecurity Operations Centers and…”
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Anomaly Detection on Bridges Using Deep Learning With Partial Training by Santos-Vila, Ivan, Soto, Ricardo, Vega, Emanuel, Pena Fritz, Alvaro, Crawford, Broderick

“…Bridges are exposed daily to environmental and operational factors that may cause weariness, fatigue, and damage. Continuous structural health monitoring (SHM)…”
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Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm by Johnson, Franklin, Valderrama, Alvaro, Valle, Carlos, Crawford, Broderick, Soto, Ricardo, Nanculef, Ricardo

“…In recent years, Convolutional Neural Networks (CNN) have been widely used for real-world applications in the field of computer vision. Their class-leading…”
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Stochastic Fractal Search Algorithm Improved with Opposition-Based Learning for Solving the Substitution Box Design Problem by Gonzalez, Francisco, Soto, Ricardo, Crawford, Broderick

“…The main component of a cryptographic system that allows us to ensure its strength against attacks, is the substitution box. The strength of this component can…”
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Toward a Robust Multi-Objective Metaheuristic for Solving the Relay Node Placement Problem in Wireless Sensor Networks by Lanza-Gutiérrez, José M, Caballé, Nuria, Gómez-Pulido, Juan A, Crawford, Broderick, Soto, Ricardo

“…During the last decade, Wireless sensor networks (WSNs) have attracted interest due to the excellent monitoring capabilities offered. However, WSNs present…”
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A Binary Black Widow Optimization Algorithm for Addressing the Cell Formation Problem Involving Alternative Routes and Machine Reliability by Figueroa-Torrez, Paulo, Durán, Orlando, Crawford, Broderick, Cisternas-Caneo, Felipe

“…The Cell Formation Problem (CFP) involves the clustering of machines to enhance productivity and capitalize on various benefits. This study addresses a variant…”
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A Novel Approach to Combinatorial Problems: Binary Growth Optimizer Algorithm by Leiva, Dante, Ramos-Tapia, Benjamín, Crawford, Broderick, Soto, Ricardo, Cisternas-Caneo, Felipe

“…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…”
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Entropy–Based Diversification Approach for Bio–Computing Methods by Olivares, Rodrigo, Soto, Ricardo, Crawford, Broderick, Riquelme, Fabián, Munoz, Roberto, Ríos, Víctor, Cabrera, Rodrigo, Castro, Carlos

“…Nature–inspired computing is a promising field of artificial intelligence. This area is mainly devoted to designing computational models based on natural…”
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An Optimized Brain-Based Algorithm for Classifying Parkinson’s Disease by Olivares, Rodrigo, Munoz, Roberto, Soto, Ricardo, Crawford, Broderick, Cárdenas, Diego, Ponce, Aarón, Taramasco, Carla

“…During the last years, highly-recognized computational intelligence techniques have been proposed to treat classification problems. These automatic learning…”
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Exploring Initialization Strategies for Metaheuristic Optimization: Case Study of the Set-Union Knapsack Problem by García, José, Leiva-Araos, Andres, Crawford, Broderick, Soto, Ricardo, Pinto, Hernan

“…In recent years, metaheuristic methods have shown remarkable efficacy in resolving complex combinatorial challenges across a broad spectrum of fields…”
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Dynamic Population on Bio-Inspired Algorithms Using Machine Learning for Global Optimization by Caselli, Nicolás, Soto, Ricardo, Crawford, Broderick, Valdivia, Sergio, Chicata, Elizabeth, Olivares, Rodrigo

“…In the optimization field, the ability to efficiently tackle complex and high-dimensional problems remains a persistent challenge. Metaheuristic algorithms,…”
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Feature Selection Problem and Metaheuristics: A Systematic Literature Review about Its Formulation, Evaluation and Applications by Barrera-García, José, Cisternas-Caneo, Felipe, Crawford, Broderick, Gómez Sánchez, Mariam, Soto, Ricardo

“…Feature selection is becoming a relevant problem within the field of machine learning. The feature selection problem focuses on the selection of the small,…”
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A Binary Chaotic White Shark Optimizer by Lepe-Silva, Fernando, Crawford, Broderick, Cisternas-Caneo, Felipe, Barrera-Garcia, José, Soto, Ricardo

“…This research presents a novel hybrid approach, which combines the White Shark Optimizer (WSO) metaheuristic algorithm with chaotic maps integrated into the…”
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A Self-Adaptive Cuckoo Search Algorithm Using a Machine Learning Technique by Caselli, Nicolás, Soto, Ricardo, Crawford, Broderick, Valdivia, Sergio, Olivares, Rodrigo

“…Metaheuristics are intelligent problem-solvers that have been very efficient in solving huge optimization problems for more than two decades. However, the main…”
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Chaotic Binarization Schemes for Solving Combinatorial Optimization Problems Using Continuous Metaheuristics by Cisternas-Caneo, Felipe, Crawford, Broderick, Soto, Ricardo, Giachetti, Giovanni, Paz, Álex, Peña Fritz, Alvaro

“…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…”
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