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Broderick Crawford

Pontificia Universidad Católica de Valparaíso

29H-index
441Paper Count
3.7KCitation Count
Published Papers 47
Publication Date
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Experimental Characterization of Emergent Behavior in Bio-Inspired Swarm Intelligence Algorithms
errBiomimetics
IF3.9
err2026-08-13
err0
errOAAI
errYoslandy Lazo; Broderick Crawford; Gino Astorga; Felipe Cisternas-Caneo; José Barrera-Garcia; Giovanni Giachetti; Ricardo Soto
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Chaotic Regulation of Exploration and Exploitation in Bio-Inspired Swarm Intelligence for Combinatorial Optimization
errBiomimetics
IF3.9
err2026-08-04
err0
errOAAI
errFelipe Cisternas-Caneo; Broderick Crawford; Jorge Mendoza; José M. Lanza-Gutiérrez; José Barrera-García; Ricardo Soto
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errSave
Machine Learning for Graduation Prediction in Higher Education: A Systematic Review with a Bio-Inspired Optimization Perspective
errBiomimetics
IF3.9
err2026-07-23
err0
errOAAI
errAndrés Yáñez; Broderick Crawford; Eric Monfroy; Álex Paz; José Barrera-García; Felipe Cisternas-Caneo; Álvaro Peña Fritz; Ricardo Soto
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errSave
Metaheuristic-based pruning for efficient structural health monitoring
errStructural Health Monitoring-An International Journal
IF5.7
err2026-06-29
err0
PREAI
errIván Santos-Vila; Ricardo Soto; Emanuel Vega; Álvaro Peña; Broderick Crawford
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errSave
Hybrid Nature-Inspired Optimization for the Cell Formation Problem with Machine Reliability and Alternative Routings
errBiomimetics
IF3.9
err2026-06-01
err0
errOAAI
errPaulo Figueroa-Torrez; Broderick Crawford; Orlando Durán; Martín Jurado-Camacho; Dayana Roxana Andrade Roque; Adrian Vargas-Gutierrez; Felipe Cisternas-Caneo
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errSave
Enhancing Manufacturing Cell Formation Through Availability-Based Optimization Using the Black Widow Optimizer Metaheuristic
errBiomimetics
IF3.9
err2026-04-23
err0
errOAAI
errPaulo Figueroa-Torrez; Orlando Duran; Broderick Crawford; Felipe Cisternas-Caneo
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errSave
Bioinspired Optimization for Feature Selection in Post-Compliance Risk Prediction
errBiomimetics
IF3.9
err2026-03-05
err0
errOAAI
errÁlex Paz; Broderick Crawford; Eric Monfroy; Eduardo Rodriguez-Tello; José Barrera-García; Felipe Cisternas-Caneo; Benjamín López Cortés; Yoslandy Lazo; Andrés Yáñez; Álvaro Peña Fritz; Ricardo Soto
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errSave
Evaluating Bio-Inspired Metaheuristics for Dynamic Surgical Scheduling: A Resilient Three-Stage Flow Shop Model Under Stochastic Emergency Arrivals
errBiomimetics
IF3.9
err2026-03-04
err0
errOAAI
errMarcelo Becerra-Rozas; Bady Gana; José Lara; Andres Leiva-Araos; Broderick Crawford; José M. Gómez Pulido; Cristian Contreras; José J. Caro-Miranda; Miguel García-Remesal
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errSave
Binary Pufferfish Optimization Algorithm for Combinatorial Problems
errBiomimetics
IF3.9
err2026-03-04
err0
errOAAI
errBroderick Crawford; Álex Paz; Ricardo Soto; Álvaro Peña Fritz; Gino Astorga; Felipe Cisternas-Caneo; Claudio Patricio Toledo Mac-lean; Fabián Solís-Piñones; José Lara Arce; Giovanni Giachetti
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Low-Overhead Learning: Quantized Shallow Neural Networks at the Service of Genetic Algorithm Optimization
errBIOMIMETICS
IF3.9
err2025-11-12
err0
PREAI
errPizarro, Fabian; Vega, Emanuel; Soto, Ricardo; Crawford, Broderick; Villamayor, Jose
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errSave
New Binary Reptile Search Algorithms for Binary Optimization Problems
errBiomimetics 2025, Vol. 10, Page 653
IF3.9
err2025-10-01
err0
errOAAI
errBroderick Crawford; Benjamín López Cortés; Felipe Cisternas-Caneo; José Manuel Gómez-Pulido; Rodrigo Olivares; Ricardo Soto; José Barrera-Garcia; Cristóbal Brante-Aguilera; Giovanni Giachetti
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errSave
An Experimental Study of Transfer Functions and Binarization Strategies in Binary Arithmetic Optimization Algorithms for the Set Covering Problem
errMATHEMATICS
IF2.2
err2025-09-30
err0
errOAAI
errCrawford, Broderick; Soto, Ricardo; Caballero, Hugo; Astorga, Gino; Cisternas-Caneo, Felipe; Solis-Pinones, Fabian; Giachetti, Giovanni
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A novel scheme integrating graph-based analysis and opposition-based learning for S-box optimization by population-based metaheuristics
errExpert Systems with Applications
IF7.5
err2025-09-09
err0
PREAI
errFrancisco González; Ricardo Soto; José M. Lanza-Gutiérrez; Broderick Crawford
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errSave
Community Organizations, Local Health Equity Action Teams, and a Learning Collaborative to Address COVID-19 Disparities in Urban and Rural Communities
errAMERICAN JOURNAL OF PUBLIC HEALTH
IF9.6
err2024-11-01
err0
PREAI
errEllerbeck, Edward F.; Collie-Akers, Vicki L.; Ablah, Elizabeth; Landry, Sarah; Honn, Allison; Obermeier, Sara; Ramirez, Mariana; Chen, Yvonnes; Knight, Ian R.; Lumpkins, Crystal Y.; Ricketts, Mary; Carter, Tony; Wright, Ullyses; Watson, Christal; Kurz, Daniel L.; McCrea-Robertson, Stacy; Finocchario-Kessler, Sarah; Lemaster, Joseph; Corriveau, Erin; Crawford, Broderick; He, Jianghua; Greiner, K. Allen
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errSave
Intelligent decision-making for binary coverage: Unveiling the potential of the multi-armed bandit selector
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2024-10-01
err0
PREAI
errBecerra-Rozas, Marcelo; Lemus-Romani, Jose; Crawford, Broderick; Soto, Ricardo; Talbi, El-Ghazali
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errSave
Enhancing the Efficiency of a Cybersecurity Operations Center Using Biomimetic Algorithms Empowered by Deep Q-Learning
errBIOMIMETICS
IF3.9
err2024-05-21
err1
errOAAI
errOlivares, Rodrigo; Salinas, Omar; Ravelo, Camilo; Soto, Ricardo; Crawford, Broderick
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errSave
A Novel Approach to Combinatorial Problems: Binary Growth Optimizer Algorithm
errBIOMIMETICS
IF3.9
err2024-05-09
err3
errOAAI
errLeiva, Dante; Ramos-Tapia, Benjamin; Crawford, Broderick; Soto, Ricardo; Cisternas-Caneo, Felipe
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Challenging the Limits of Binarization: A New Scheme Selection Policy Using Reinforcement Learning Techniques for Binary Combinatorial Problem Solving
errBIOMIMETICS
IF3.9
err2024-02-01
err0
errOAAI
errBecerra-Rozas, Marcelo; Crawford, Broderick; Soto, Ricardo; Talbi, El-Ghazali; Gomez-Pulido, Jose M.
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errSave
Autonomous Parameter Balance in Population-Based Approaches: A Self-Adaptive Learning-Based Strategy
errBIOMIMETICS
IF3.9
err2024-01-31
err1
errOAAI
errVega, Emanuel; Lemus-Romani, Jose; Soto, Ricardo; Crawford, Broderick; Loffler, Christoffer; Pena, Javier; Talbi, El-Gazhali
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errSave
Anomaly Detection on Bridges Using Deep Learning With Partial Training
errIEEE ACCESS
IF3.6
err2024-01-01
err0
errOAAI
errSantos-Vila, Ivan; Soto, Ricardo; Vega, Emanuel; Pena Fritz, Alvaro; Crawford, Broderick
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Research Directions

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Co-authors
Cooperation Journals
V
Victor Hugo C. de Albuquerque
H-index: 85 · Papers: 492
V
Víctor Yepes
H-index: 51 · Papers: 494
E
Edward F. Ellerbeck
H-index: 47 · Papers: 291
何
何江华 (Jianghua He)
H-index: 42 · Papers: 349
L
Lynn C. Miller
H-index: 39 · Papers: 196
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