INVESTIGADORES
YANNIBELLI Virginia Daniela
artículos
VIRGINIA YANNIBELLI; ELINA PACINI; DAVID MONGE; CRISTIAN MATEOS; GUILLERMO RODRIGUEZ; EMMANUEL MILLÁN; JORGE SANTOS
An In-depth Benchmarking of Evolutionary and Swarm Intelligence Algorithms for Autoscaling Parameter Sweep Applications on Public Clouds
SCIENTIFIC PROGRAMMING; Lugar: Amsterdam; Año: 2023 vol. 2023 p. 1 - 26
GUILLERMO RODRIGUEZ; VIRGINIA YANNIBELLI; FABIO G. ROCHA; DAWITT BARBARA; IGOR M. AZEVEDO; PABLO M. MENEZES
Understanding and Addressing the Allocation of Microservices into Containers: A Review
IETE JOURNAL OF RESEARCH; Lugar: New Dehli; Año: 2023 vol. 2023 p. 1 - 14
VIRGINIA YANNIBELLI; ELINA PACINI; DAVID MONGE; CRISTIAN MATEOS; GUILLERMO RODRIGUEZ
Endowing the MIA Cloud Autoscaler with Adaptive Evolutionary and Particle Swarm Multi-Objective Optimization Algorithms
LECTURE NOTES IN COMPUTER SCIENCE; Año: 2021 vol. 1306 p. 383 - 400
VIRGINIA YANNIBELLI; ELINA PACINI; DAVID MONGE; CRISTIAN MATEOS; GUILLERMO RODRIGUEZ
A Comparative Analysis of NSGA-II and NSGA-III for Autoscaling Parameter Sweep Experiments in the Cloud
SCIENTIFIC PROGRAMMING; Lugar: Amsterdam; Año: 2020 vol. 2020 p. 1 - 17
VIRGINIA YANNIBELLI; ELINA PACINI; DAVID MONGE; CRISTIAN MATEOS; GUILLERMO RODRIGUEZ
An NSGA-III-based Multi-objective Intelligent Autoscaler for Executing Engineering Applications in Cloud Infrastructures
LECTURE NOTES IN COMPUTER SCIENCE; Año: 2020 vol. 1246 p. 249 - 263
VIRGINIA YANNIBELLI; ANALÍA AMANDI
Collaborative Learning Team Formation Considering Team Roles: An Evolutionary Approach based on Adaptive Crossover, Mutation and Simulated Annealing
Research in Computing Science; Lugar: México; Año: 2018 vol. 147 p. 61 - 74
VIRGINIA YANNIBELLI
An Adaptive Hybrid Evolutionary Approach for a Project Scheduling Problem that Maximizes the Effectiveness of Human Resources
LECTURE NOTES IN COMPUTER SCIENCE; Año: 2018 vol. 1128 p. 33 - 49
VIRGINIA YANNIBELLI; ANALÍA AMANDI
A Hybrid Evolutionary Algorithm based on Adaptive Mutation and Crossover for Collaborative Learning Team Formation in Higher Education
LECTURE NOTES IN COMPUTER SCIENCE; Lugar: Heidelberg; Año: 2017 vol. 1058 p. 345 - 354
VIRGINIA YANNIBELLI; MARCELO ARMENTANO; FRANCO BERDUN; ANALÍA AMANDI
A Steady-state Evolutionary Algorithm for Building Collaborative Learning Teams in Educational Environments Considering the Understanding Levels and Interest Levels of the Students
JOURNAL OF UNIVERSAL COMPUTER SCIENCE; Lugar: Graz; Año: 2016 vol. 22 p. 1298 - 1318
VIRGINIA YANNIBELLI; ANALÍA AMANDI
Project Scheduling: A Memetic Algorithm with Diversity-Adaptive Components that Optimizes the Effectiveness of Human Resources
POLIBITS; Lugar: México; Año: 2015 vol. 52 p. 93 - 103
VIRGINIA YANNIBELLI; ANALÍA AMANDI
Hybrid Evolutionary Algorithm with Adaptive Crossover, Mutation and Simulated Annealing Processes to Project Scheduling
LECTURE NOTES IN COMPUTER SCIENCE; Lugar: Heidelberg; Año: 2015 vol. 9375 p. 340 - 351
VIRGINIA YANNIBELLI; ANALÍA AMANDI
Scheduling Projects by a Hybrid Evolutionary Algorithm with Self-Adaptive Processes
LECTURE NOTES IN COMPUTER SCIENCE; Lugar: Heidelberg; Año: 2015 vol. 9413 p. 401 - 412
VIRGINIA YANNIBELLI; ANALÍA AMANDI
A Diversity-Adaptive Hybrid Evolutionary Algorithm to Solve a Project Scheduling Problem
LECTURE NOTES IN COMPUTER SCIENCE; Lugar: Heidelberg; Año: 2014 vol. 8669 p. 412 - 423
VIRGINIA YANNIBELLI ; ANALÍA AMANDI
Project scheduling: A multi-objective evolutionary algorithm that optimizes the effectiveness of human resources and the project makespan.
ENGINEERING OPTIMIZATION; Lugar: London; Año: 2013 vol. 45 p. 45 - 65
VIRGINIA YANNIBELLI; ANALÍA AMANDI
Hybridizing a multi-objective simulated annealing algorithm with a multi-objective evolutionary algorithm to solve a multi-objective project scheduling problem
EXPERT SYSTEMS WITH APPLICATIONS; Lugar: Oxford; Año: 2013 vol. 40 p. 2421 - 2434
VIRGINIA YANNIBELLI; ANALÍA AMANDI
A Hybrid Algorithm Combining an Evolutionary Algorithm and a Simulated Annealing Algorithm to Solve a Collaborative Learning Team Building Problem
LECTURE NOTES IN COMPUTER SCIENCE; Lugar: Heidelberg; Año: 2013 vol. 8073 p. 376 - 389
VIRGINIA YANNIBELLI; ANALÍA AMANDI
A Memetic Algorithm for Collaborative Learning Team Formation in the Context of Software Engineering Courses
LECTURE NOTES IN COMPUTER SCIENCE; Lugar: Heidelberg; Año: 2012 vol. 7547 p. 92 - 103
VIRGINIA YANNIBELLI; ANALÍA AMANDI
A Memetic Approach to Project Scheduling that Maximizes the Effectiveness of the Human Resources Assigned to Project Activities
LECTURE NOTES IN COMPUTER SCIENCE; Lugar: Heidelberg; Año: 2012 vol. 7208 p. 159 - 173
VIRGINIA YANNIBELLI; ANALÍA AMANDI
A deterministic crowding evolutionary algorithm to form learning teams in a collaborative learning context
EXPERT SYSTEMS WITH APPLICATIONS; Lugar: Oxford; Año: 2012 vol. 39 p. 8584 - 8592
VIRGINIA YANNIBELLI; ANALÍA AMANDI
A knowledge-based evolutionary assistant to software development project scheduling.
EXPERT SYSTEMS WITH APPLICATIONS; Lugar: Oxford; Año: 2011 vol. 38 p. 8403 - 8413
VIRGINIA YANNIBELLI; DANIELA GODOY; ANALÍA AMANDI
A genetic algorithm approach to recognise students' learning styles
Interactive Learning Environments; Lugar: Oxford; Año: 2006 vol. 14 p. 55 - 78