Fernando Lezama

According to our database, Fernando Lezama authored at least 57 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Explainergy: Towards Explainability of Metaheuristic Performance in the Energy Field.

Fernando Lezama, José Almeida, João P. Soares, Zita Vale

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Insights into the 2022 WCCI-GECCO Competition: Statistical Analysis of Evolutionary Computation in the Energy Domain.

Fernando Lezama, José Almeida, João P. Soares, Bruno Canizes, Zita Vale

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

A Multi-Agent System Empowered by Federated Learning and Genetic Programming.

Luis Gomes, Bruno Ribeiro, Fernando Lezama, Zita Vale

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Probabilistic-based Optimization for PV Hosting Capacity with Confidence Interval Restrictions.

Luis Cordero, Brian Jaramillo-Leon, Jonatas Boas Leite, John F. Franco, José Almeida, Fernando Lezama, João P. Soares

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Metaheuristic Optimization for Transmission Network Expansion Planning: Testebed 2 of the Competition on Evolutionary Computation in the Energy Domain.

José Almeida, Fernando Lezama, João P. Soares, Leonardo H. Macedo, Zita Vale, Rubén Romero

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Distributed Energy Resources and EV Charging Stations Expansion Planning for Grid-Connected Microgrids.

Tayenne Dias de Lima, Cleberton Reiz, João P. Soares, Fernando Lezama, John F. Franco, Zita Vale

Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023

Comparing Manual vs Automatic Tuning of Differential Evolution Strategies for Energy Resource Management Optimization.

José Almeida, Fernando Lezama, João P. Soares, Zita Vale

Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023

Illuminating Metaheuristic Performance Using Vortex MAP-Elites for Risk-Based Energy Resource Management.

José Almeida, Fernando Lezama, João P. Soares, Zita Vale

Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023

FeDis: Federated Learning Framework Supported by Distributed Ledger.

Rafael Barbarroxa, João Silva, Luis Gomes, Fernando Lezama, Bruno Ribeiro, Zita Vale

Proceedings of the Blockchain and Applications, 5th International Congress, 2023

2022

WCCI/GECCO 2020 Competition on Evolutionary Computation in the Energy Domain: An overview from the winner perspective.

Ansel Y. Rodríguez González, Fernando Lezama, Yoan Martínez-López, Julio Madera, João P. Soares, Zita A. Vale

Appl. Soft Comput., 2022

A Specialized Long-Term Distribution System Expansion Planning Method With the Integration of Distributed Energy Resources.

Tayenne Dias de Lima, John F. Franco, Fernando Lezama, João P. Soares

IEEE Access, 2022

Robust Energy Resource Management Incorporating Risk Analysis Using Conditional Value-at-Risk.

José Almeida, João P. Soares, Fernando Lezama, Zita A. Vale

IEEE Access, 2022

Optimal Strategy of Energy Aggregators in the Energy and Regulation markets: Chance-Constrained Approach.

Meysam Khojasteh, Pedro Faria, Fernando Lezama, Zita Vale

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022

Preliminary results of advanced heuristic optimization in the risk-based energy scheduling competition.

José Almeida, Fernando Lezama, João P. Soares, Zita A. Vale, Bruno Canizes

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

A Sensitivity Analysis of PSO Parameters Solving the P2P Electricity Market Problem.

Miguel Vieira, Ricardo Faia, Fernando Lezama, Zita A. Vale

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Metaheuristic Optimization Solving Demand Response Contract Markets with Network Validation.

Eduardo Lacerda, Fernando Lezama, João P. Soares, Bruno Canizes, Zita A. Vale

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Competition on Evolutionary Computation in the Energy Domain: Smart Grid Applications.

João P. Soares, Fernando Lezama, Bruno Canizes, Zita Vale

Dataset, February, 2021

Solving routing and spectrum allocation problems in flexgrid optical networks using pre-computing strategies.

Fernando Lezama, Alberto F. Martínez-Herrera, Gerardo A. Castañón, Carolina Del-Valle-Soto, Ana María Sarmiento, Enrique Munoz de Cote

Photonic Netw. Commun., 2021

Joint Optimal Allocation of Electric Vehicle Charging Stations and Renewable Energy Sources Including CO2 Emissions.

Tayenne Dias de Lima, John F. Franco, Fernando Lezama, João P. Soares, Zita A. Vale

Energy Inform., 2021

A methodology for energy key performance indicators analysis.

Pedro Faria, Fernando Lezama, Zita A. Vale, Mahsa Khorram

Energy Inform., 2021

Cellular estimation of distribution algorithm designed to solve the energy resource management problem under uncertainty.

Yoan Martínez-López, Ansel Y. Rodríguez González, Julio Madera, Miguel Bethencourt Mayedo, Fernando Lezama

Eng. Appl. Artif. Intell., 2021

Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach.

Steffen Limmer, Fernando Lezama, João P. Soares, Zita A. Vale

IEEE Access, 2021

Optimal Model for Local Energy Community Scheduling Considering Peer to Peer Electricity Transactions.

Ricardo Faia, João P. Soares, Tiago Pinto, Fernando Lezama, Zita A. Vale, Juan M. Corchado

IEEE Access, 2021

A Statistical Analysis of Performance in the 2021 CEC-GECCO-PESGM Competition on Evolutionary Computation in the Energy Domain.

Fernando Lezama, João P. Soares, Bruno Canizes, Zita A. Vale

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Evolutionary Algorithms applied to the Intraday Energy Resource Scheduling in the Context of Multiple Aggregators.

José Almeida, João P. Soares, Fernando Lezama, Bruno Canizes, Zita A. Vale

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Electric Vehicles Trips and Charging Simulator Considering the User Behaviour in a Smart City.

João P. Soares, Fernando Lezama, Aldo Trindade, Sérgio Ramos, Bruno Canizes, Zita A. Vale

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021

DSO Contract Market for Demand Response Using Evolutionary Computation.

Eduardo Lacerda, Fernando Lezama, João P. Soares, Zita A. Vale

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Evolutionary Algorithms for Energy Scheduling under uncertainty considering Multiple Aggregators.

José Almeida, João P. Soares, Bruno Canizes, Fernando Lezama, Mohammad Ali Fotouhi Ghazvini, Zita A. Vale

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Safety Isolating Transformer Design using HyDE-DF algorithm.

João P. Soares, Fernando Lezama, Zita A. Vale, Stephane Brisset, Bruno François

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Learning Bidding Strategies in Local Electricity Markets using Ant Colony optimization.

Fernando Lezama, Ricardo Faia, João P. Soares, Pedro Faria, Zita A. Vale

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Complex Large-Scale Energy Resource Management Optimization Considering Demand Flexibility.

Bruno Canizes, João P. Soares, Fernando Lezama, Zita A. Vale

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

2017 IEEE competition on modern heuristic optimizers for smart grid operation: Testbeds and results.

Fernando Lezama, João P. Soares, Zita A. Vale, José L. Rueda, Sergio Rivera, István Elrich

Swarm Evol. Comput., 2019

New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks.

Carolina Del-Valle-Soto, J. Carlos Mex-Perera, Ivan Aldaya, Fernando Lezama, Juan Arturo Nolazco-Flores, Raúl Monroy

Sensors, 2019

Agent-Based Microgrid Scheduling: An ICT Perspective.

Fernando Lezama, Jorge Palominos, Ansel Y. Rodríguez González, Alessandro Farinelli, Enrique Munoz de Cote

Mob. Networks Appl., 2019

Business models for flexibility of electric vehicles: evolutionary computation for a successful implementation.

Fernando Lezama, João P. Soares, Ricardo Faia, Zita A. Vale, Leonardo H. Macedo, Rubén A. Romero

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Hybrid-adaptive differential evolution with decay function (HyDE-DF) applied to the 100-digit challenge competition on single objective numerical optimization.

Fernando Lezama, João P. Soares, Ricardo Faia, Zita A. Vale

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management.

Fernando Lezama, Enrique Munoz de Cote, Alessandro Farinelli, João P. Soares, Tiago Pinto, Zita A. Vale

Proceedings of the Progress in Artificial Intelligence, 2019

2018

Closed frequent similar pattern mining: Reducing the number of frequent similar patterns without information loss.

Ansel Y. Rodríguez González, Fernando Lezama, Carlos A. Iglesias-Alvarez, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Enrique Munoz de Cote

Expert Syst. Appl., 2018

A platform for testing the performance of metaheuristics solving the energy resource management problem in smart grids.

Fernando Lezama, João P. Soares, Zita A. Vale

Energy Inform., 2018

Survey on Complex Optimization and Simulation for the New Power Systems Paradigm.

João P. Soares, Tiago Pinto, Fernando Lezama, Hugo Morais

Complex., 2018

Complex Optimization and Simulation in Power Systems.

João P. Soares, Fernando Lezama, Tiago Pinto, Hugo Morais

Complex., 2018

A Flexibility Home Energy Management System to Support Agreggator Requests in Smart Grids.

Tiago M. Sousa, Fernando Lezama, João P. Soares, Sérgio Ramos, Zita A. Vale

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Genetic Algorithms for Portfolio Optimization with Weighted Sum Approach.

Ricardo Faia, Tiago Pinto, Zita A. Vale, Juan Manuel Corchado, João P. Soares, Fernando Lezama

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Differential Evolution Aplication in Portfolio optimization for Electricity Markets.

Ricardo Faia, Fernando Lezama, João P. Soares, Zita A. Vale, Tiago Pinto, Juan Manuel Corchado

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A New Hybrid-Adaptive Differential Evolution for a Smart Grid Application Under Uncertainty.

Fernando Lezama, João P. Soares, Ricardo Faia, Tiago Pinto, Zita A. Vale

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

A residential energy management system with offline population-based optimization.

João P. Soares, Fernando Lezama, Sérgio Ramos, Zita A. Vale, Andre Lopes

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Differential evolution strategies for large-scale energy resource management in smart grids.

Fernando Lezama, Luis Enrique Sucar, Enrique Munoz de Cote, João P. Soares, Zita A. Vale

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Differential evolution optimization applied to the routing and spectrum allocation problem in flexgrid optical networks.

Fernando Lezama, Gerardo A. Castañón, Ana María Sarmiento, Indayara Bertoldi Martins

Photonic Netw. Commun., 2016

Electrical Load Pattern Shape Clustering Using Ant Colony Optimization.

Fernando Lezama, Ansel Y. Rodríguez González, Enrique Munoz de Cote, Luis Enrique Sucar

Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Load pattern clustering using differential evolution with Pareto Tournament.

Fernando Lezama, Ansel Y. Rodríguez González, Enrique Munoz de Cote

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2014

Survivable virtual topology mapping in IP-over-WDM networks using differential evolution optimization.

Fernando Lezama, Gerardo A. Castañón, Ana María Sarmiento, Franco Callegati, Walter Cerroni

Photonic Netw. Commun., 2014

Trunk Reservation for Fair Utilization in Flexible Optical Networks.

Franco Callegati, Luiz H. Bonani, Fernando Lezama, Walter Cerroni, Aldo Campi, Gerardo A. Castañón

IEEE Commun. Lett., 2014

Impact of spectral width on signal transmission distance in elastic optical network.

Indayara Bertoldi Martins, Gerardo A. Castañón, Fernando Lezama, Ivan Aldaya

Proceedings of the 16th International Conference on Transparent Optical Networks, 2014

Routing and spectrum allocation in flexgrid optical networks using differential evolution optimization.

Fernando Lezama, Gerardo A. Castañón, Ana María Sarmiento, Indayara Bertoldi Martins

Proceedings of the 16th International Conference on Transparent Optical Networks, 2014

2013

Routing and wavelength assignment in all optical networks using differential evolution optimization.

Fernando Lezama, Gerardo A. Castañón, Ana María Sarmiento

Photonic Netw. Commun., 2013

2012

Differential evolution optimization applied to the wavelength converters placement problem in all optical networks.

Fernando Lezama, Gerardo A. Castañón, Ana María Sarmiento

Comput. Networks, 2012

2010

Wavelength Converters Placement in All Optical Networks using Differential Evolution Optimization.

Gerardo A. Castañón, Fernando Lezama, Ana María Sarmiento

Proceedings of the ICEC 2010 - Proceedings of the International Conference on Evolutionary Computation, [part of the International Joint Conference on Computational Intelligence IJCCI 2010], Valencia, Spain, October 24, 2010