Elizabeth F. Wanner

Orcid: 0000-0001-6450-3043

Affiliations:
  • Federal Center for Technological Education of Minas Gerais, Brazil


According to our database1, Elizabeth F. Wanner authored at least 99 papers between 2005 and 2024.

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Bibliography

2024
A genetic algorithm for rule extraction in fuzzy adaptive learning control networks.
Genet. Program. Evolvable Mach., June, 2024

Identifying Pareto Fronts Reliably Using a Multistage Reference-Vector-Based Framework.
IEEE Trans. Evol. Comput., February, 2024

2023
Cross-entropy boosted CRO-SL for optimal power flow in smart grids.
Soft Comput., May, 2023

A Multiobjective Tuning of a Procedural Content Generator for Game Level Design via Evolutionary Algorithms.
Proceedings of the Optimization, Learning Algorithms and Applications, 2023

2022
Analyzing Dominance Move (MIP-DoM) Indicator for Multiobjective and Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2022

Asynchronous and Distributed Multi-agent Systems: An Approach Using Actor Model.
Proceedings of the Optimization, Learning Algorithms and Applications, 2022

A Multi-objective Approach for the Menu Planning Problem: A Brazilian Case Study.
Proceedings of the Optimization, Learning Algorithms and Applications, 2022

Active GA Accelerated by Simulated Annealing to Solve SPP in Packet Networks.
Proceedings of the Optimization, Learning Algorithms and Applications, 2022

A computationally fast but approximate MIP-DoM calculation for multi-objective optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Solving the Optimal Active-Reactive Power Dispatch Problem in Smart Grids with the C-DEEPSO Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Multi-gene genetic programming to building up fuzzy rule-base in Neo-Fuzzy-Neuron networks.
J. Intell. Fuzzy Syst., 2021

Online clustering reduction based on parametric and non-parametric correlation for a many-objective vehicle routing problem with demand responsive transport.
Expert Syst. Appl., 2021

An efficient multi-objective evolutionary approach for solving the operation of multi-reservoir system scheduling in hydro-power plants.
Expert Syst. Appl., 2021

A robust multi-response VNS-aiNet approach for solving scheduling problems under unrelated parallel machines environments.
Expert Syst. Appl., 2021

A multi-objective time series analysis of community mobility reduction comparing first and second COVID-19 waves.
CoRR, 2021

A computational study on ant colony optimization for the traveling salesman problem with dynamic demands.
Comput. Oper. Res., 2021

An approximate MIP-DoM calculation for multi-objective optimization using affinity propagation clustering algorithm.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Revisiting Pareto-Optimal Multi- and Many-Objective Reference Fronts for Continuous Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Aggregation or Selection? Clustering Many Objectives for Vehicle Routing Problem with Demand Responsive Transport.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

A Hybrid Multiobjective Solution for the Short-term Hydro-power Dispatch Problem: a Swarm Evolutionary Approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Pattern Classification Applying Neighbourhood Component Analysis and Swarm Evolutionary Algorithms: A Coupled Methodology.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Many and Multi-objective datasets used in MIP-DoM.
Dataset, November, 2020

A combined optimisation and decision-making approach for battery-supported HMGS.
J. Oper. Res. Soc., 2020

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances.
J. Heuristics, 2020

A Self-Aware and Scalable Solution for Efficient Mobile-Cloud Hybrid Robotics.
Frontiers Robotics AI, 2020

Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms.
Expert Syst. Appl., 2020

Analyzing Dominance Move (MIP-DoM) Indicator for Multi- and Many-objective Optimization.
CoRR, 2020

Google COVID-19 community mobility reports: insights from multi-criteria decision making.
CoRR, 2020

Dominance Move calculation using a MIP approach for comparison of multi and many-objective optimization solution sets.
CoRR, 2020

An Assignment Problem Formulation for Dominance Move Indicator.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Applying Partial-ACO to Large-scale Vehicle Fleet Optimisation.
CoRR, 2019

Accent classification in human speech biometrics for native and non-native english speakers.
Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

Can Bio-Inspired Swarm Algorithms Scale to Modern Societal Problems?
Proceedings of the 2019 Conference on Artificial Life, 2019

Optimization of a demand responsive transport service using multi-objective evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

CE+EPSO: a merged approach to solve SCOPF problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Scaling ACO to large-scale vehicle fleet optimisation via partial-ACO.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Phoneme aware speech recognition through evolutionary optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

The Hypervolume Indicator as a Performance Measure in Dynamic Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

A Viability Study of Renewables and Energy Storage Systems Using Multicriteria Decision Making and an Evolutionary Approach.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018
VND-based Local Search Operator for Equality Constraint Problems in PSO Algorithm.
Electron. Notes Discret. Math., 2018

Solving security constrained optimal power flow problems: a hybrid evolutionary approach.
Appl. Intell., 2018

CardNutri: A Software of Weekly Menus Nutritional Elaboration for Scholar Feeding Applying Evolutionary Computation.
Proceedings of the Applications of Evolutionary Computation, 2018

QRS Detection in ECG Signal with Convolutional Network.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Hybrid PSO Algorithm with Iterated Local Search Operator for Equality Constraints Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

An Evolutionary Mono-Objective Approach for Solving the Menu Planning Problem.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Applying C-DEEPSO to Solve Large Scale Global Optimization Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
A vision-based system to support tactical and physical analyses in futsal.
Mach. Vis. Appl., 2017

Allocating Roadside Units in VANETs Using a Variable Neighborhood Search Strategy.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Environmental impacts of different battery technologies in renewable hybrid micro-grids.
Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

A GRASP based heuristic for Deployment Roadside Units in VANETs.
Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017

The Dance of Classes - A Stochwetsomic Model for Software Structure Evolution.
Proceedings of the 8th IEEE/ACM Workshop on Emerging Trends in Software Metrics, 2017

A genetic algorithm for hybrid VANETs with synchronous communication.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

The menu planning problem: a multiobjective approach for Brazilian schools context.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Real-polarized genetic algorithm for the three-dimensional bin packing problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Hybrid metaheuristic for combinatorial optimization based on immune network for optimization and VNS.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Dimensionality Reduction Approach for Many-Objective Vehicle Routing Problem with Demand Responsive Transport.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

A Multiobjective Strategy to Allocate Roadside Units in a Vehicular Network with Guaranteed Levels of Service.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016
Lyapunov Design of a Simple Step-Size Adaptation Strategy Based on Success.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

A GRASP-based heuristic for allocating the roadside infrastructure maximizing the number of distinct vehicles experiencing contact opportunities.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

A strategy for clustering students minimizing the number of bus stops for solving the school bus routing problem.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

Optimization of the vehicle routing problem with demand responsive transport using the NSGA-II algorithm.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Multiobjective approach to the vehicle routing problem with demand responsive transport.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Fundamentals of the C-DEEPSO algorithm and its application to the reactive power optimization of wind farms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A quadratic approximation-based local search operator for handling two equality constraints in continuous optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Portfolio selection for open-pit mining assets acquisition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Feedback-control operators for improved Pareto-set description: Application to a polymer extrusion process.
Eng. Appl. Artif. Intell., 2015

Application of Evolutionary Multiobjective Algorithms for Solving the Problem of Energy Dispatch in Hydroelectric Power Plants.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

2014
On a Vector Space Representation in Genetic Algorithms for Sensor Scheduling in Wireless Sensor Networks.
Evol. Comput., 2014

Development of an Application Using a Clustering Algorithm for Definition of Collective Transportation Routes and Times.
Proceedings of the XV Brazilian Symposium on Geoinformatics, Campos do Jordão, São Paulo, Brazil, November 30, 2014

An evolutionary approach to improve efficiency for solving the electric dispatch problem.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

2013
A novel movable partitions approach with neural networks and evolutionary algorithms for solving the hydroelectric unit commitment problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

A novel mathematical modeling approach to the electric dispatch problem: Case study using Differential Evolution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
A multiobjective evolutionary algorithm for the 2D Guillotine Strip Packing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
A Multicriteria Statistical Based Comparison Methodology for Evaluating Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2011

On a Stochastic Differential Equation Approach for Multiobjective Optimization up to Pareto-Criticality.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

Using convex quadratic approximation as a local search operator in evolutionary multiobjective algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
A wavelet-based sampling algorithm for wireless sensor networks applications.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

LMI formulation for multiobjective learning in Radial Basis Function neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2010

An Evolutionary Dynamic Approach for Designing Wireless Sensor Networks for Real Time Monitoring.
Proceedings of the DS-RT '10 Proceedings of the 2010 IEEE/ACM 14th International Symposium on Distributed Simulation and Real Time Applications, 2010

2009
Hybrid multiobjective approach for designing wireless sensor networks.
Proceedings of the 12th International Symposium on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2009

Feedback-Control Operators for Evolutionary Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

Semi-supervised training of Least Squares Support Vector Machine using a multiobjective evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Designing a multilayer microwave heating device using a multiobjective genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Continuous-space embedding genetic algorithm applied to the Degree Constrained Minimum Spanning Tree Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A dynamic multiobjective hybrid approach for designing Wireless Sensor Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A quality metric for multi-objective optimization based on Hierarchical Clustering Techniques.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Local Search with Quadratic Approximations into Memetic Algorithms for Optimization with Multiple Criteria.
Evol. Comput., 2008

Identity Transposon Networks in D. melanogaster.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2008

Coordinate change operators for genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

The micro-genetic operator in the search of global trends.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

An enhanced statistical approach for evolutionary algorithm comparison.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
Local search with quadratic approximation in Genetic Algorithms for expensive optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A new performance metric for multiobjective optimization: the integrated sphere counting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Projection-based local search operator for multiple equality constraints within genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A multiobjective non-linear dynamic programming approach for optimal biological control in soy farming via NSGA-II.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Quadratic Approximation-Based Coordinate Change in Genetic Algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

A Quadratic Approximation-Based Local Search Procedure for Multiobjective Genetic Algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Local Learning and Search in Memetic Algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Constraint quadratic approximation operator for treating equality constraints with genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005


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