Wavelength Converters Placement in All Optical Networks using Differential Evolution Optimization. - Gerardo A. Castañón; Fernando Lezama; Ana María Sarmiento (IJCCI (ICEC), 2010)

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)

Routing and wavelength assignment in all optical networks using differential evolution optimization. - Fernando Lezama; Gerardo A. Castañón; Ana María Sarmiento (Photonic Netw. Commun., 2013)

Routing and spectrum allocation in flexgrid optical networks using differential evolution optimization. - Fernando Lezama; Gerardo A. Castañón; Ana María Sarmiento; Indayara Bertoldi Martins (ICTON, 2014)

Impact of spectral width on signal transmission distance in elastic optical network. - Indayara Bertoldi Martins; Gerardo A. Castañón; Fernando Lezama; Ivan Aldaya (ICTON, 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)

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)

Application of differential evolution algorithm to optimization problems in optical networks - Fernando Lezama (2014)

Load pattern clustering using differential evolution with Pareto Tournament. - Fernando Lezama; Ansel Y. Rodríguez-González; Enrique Munoz de Cote (CEC, 2016)

Electrical Load Pattern Shape Clustering Using Ant Colony Optimization. - Fernando Lezama; Ansel Y. Rodríguez-González; Enrique Munoz de Cote; Luis Enrique Sucar (EvoApplications (1), 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)

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 (GECCO (Companion), 2017)

A residential energy management system with offline population-based optimization. - João P. Soares; Fernando Lezama; Sérgio Ramos; Zita A. Vale; Andre Lopes (SSCI, 2017)

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 (CEC, 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 (IJCNN, 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 (SSCI, 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 (SSCI, 2018)

Complex Optimization and Simulation in Power Systems. - João P. Soares; Fernando Lezama; Tiago Pinto; Hugo Morais (Complex., 2018)

Survey on Complex Optimization and Simulation for the New Power Systems Paradigm. - João P. Soares; Tiago Pinto; Fernando Lezama; Hugo Morais (Complex., 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)

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)

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 (EPIA (1), 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 (GECCO (Companion), 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 Romero 001 (GECCO (Companion), 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)

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)

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)

Complex Large-Scale Energy Resource Management Optimization Considering Demand Flexibility. - Bruno Canizes; João P. Soares; Fernando Lezama; Zita A. Vale (CEC, 2020)

Learning Bidding Strategies in Local Electricity Markets using Ant Colony optimization. - Fernando Lezama; Ricardo Faia; João P. Soares; Pedro Faria; Zita A. Vale (CEC, 2020)

Safety Isolating Transformer Design using HyDE-DF algorithm. - João P. Soares; Fernando Lezama; Zita A. Vale; Stephane Brisset; Bruno François (CEC, 2020)

Evolutionary Algorithms for Energy Scheduling under uncertainty considering Multiple Aggregators. - José Almeida 002; João P. Soares; Bruno Canizes; Fernando Lezama; Mohammad Ali Fotouhi Ghazvini; Zita A. Vale (CEC, 2021)

DSO Contract Market for Demand Response Using Evolutionary Computation. - Eduardo Lacerda; Fernando Lezama; João P. Soares; Zita A. Vale (CEC, 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 (ISGT-Europe, 2021)

Evolutionary Algorithms applied to the Intraday Energy Resource Scheduling in the Context of Multiple Aggregators. - José Almeida 002; João P. Soares; Fernando Lezama; Bruno Canizes; Zita A. Vale (SSCI, 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 (SSCI, 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)

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)

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)

A methodology for energy key performance indicators analysis. - Pedro Faria; Fernando Lezama; Zita A. Vale; Mahsa Khorram (Energy Inform., 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)

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)

2021 COMPETITION ON EVOLUTIONARY COMPUTATION IN THE ENERGY DOMAIN: SMART GRID APPLICATIONS. - Fernando Lezama; João P. Soares; Bruno Canizes; Zita Vale; Rubén Romero 001 (Zenodo, 2021)

Competition on Evolutionary Computation in the Energy Domain: Smart Grid Applications. - João P. Soares; Fernando Lezama; Bruno Canizes; Zita Vale (IEEE DataPort, 2021)

Joint optimal Allocation of Electric Vehicle Charging Stations and Renewable Energy Sources including CO2 emissions: Study data. - Tayenne Dias de Lima; John F. Franco; Fernando Lezama; João P. Soares; Zita Vale (Zenodo, 2021)

Metaheuristic Optimization Solving Demand Response Contract Markets with Network Validation. - Eduardo Lacerda; Fernando Lezama; João P. Soares; Bruno Canizes; Zita A. Vale (CEC, 2022)

A Sensitivity Analysis of PSO Parameters Solving the P2P Electricity Market Problem. - Miguel Vieira; Ricardo Faia; Fernando Lezama; Zita A. Vale (CEC, 2022)

Preliminary results of advanced heuristic optimization in the risk-based energy scheduling competition. - José Almeida 002; Fernando Lezama; João P. Soares; Zita A. Vale; Bruno Canizes (GECCO Companion, 2022)

Optimal Strategy of Energy Aggregators in the Energy and Regulation markets: Chance-Constrained Approach. - Meysam Khojasteh; Pedro Faria; Fernando Lezama; Zita Vale (ISGT-Europe, 2022)

Robust Energy Resource Management Incorporating Risk Analysis Using Conditional Value-at-Risk. - José Almeida 002; João P. Soares; Fernando Lezama; Zita A. Vale (IEEE Access, 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)

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)

FeDis: Federated Learning Framework Supported by Distributed Ledger. - Rafael Barbarroxa; João Silva; Luis Gomes 001; Fernando Lezama; Bruno Ribeiro 008; Zita Vale (BLOCKCHAIN, 2023)

Illuminating Metaheuristic Performance Using Vortex MAP-Elites for Risk-Based Energy Resource Management. - José Almeida 002; Fernando Lezama; João P. Soares; Zita Vale (EI.A, 2023)

Comparing Manual vs Automatic Tuning of Differential Evolution Strategies for Energy Resource Management Optimization. - José Almeida 002; Fernando Lezama; João P. Soares; Zita Vale (EI.A, 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 (EI.A (2), 2023)

Metaheuristic Optimization for Transmission Network Expansion Planning: Testebed 2 of the Competition on Evolutionary Computation in the Energy Domain. - José Almeida 002; Fernando Lezama; João P. Soares; Leonardo H. Macedo; Zita Vale; Rubén Romero 001 (GECCO Companion, 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 002; Fernando Lezama; João P. Soares (GECCO Companion, 2023)

A Multi-Agent System Empowered by Federated Learning and Genetic Programming. - Luis Gomes 001; Bruno Ribeiro 008; Fernando Lezama; Zita Vale (SIU, 2023)

Insights into the 2022 WCCI-GECCO Competition: Statistical Analysis of Evolutionary Computation in the Energy Domain. - Fernando Lezama; José Almeida 002; João P. Soares; Bruno Canizes; Zita Vale (SSCI, 2023)

Explainergy: Towards Explainability of Metaheuristic Performance in the Energy Field. - Fernando Lezama; José Almeida 002; João P. Soares; Zita Vale (SSCI, 2023)

Assessing PV Integration with Evolutionary Algorithms: Insights from the 2024 Competition on Evolutionary Computation in the Energy Domain. - Fernando Lezama; José Almeida 002; João Soares; Zita Vale; Wenlei Bai; Kwang Y. Lee; Wen Zhang (GECCO Companion, 2024)

Comparative Analysis of Nature-Inspired Algorithms for Optimal Power Flow Problem: A Focus on Penalty-Vanishing Terms and Algorithm Performance. - Gerardo A. Castañón; Alberto F. Martínez-Herrera; Ana María Sarmiento; Alejandro Aragón Zavala; Fernando Lezama (IEEE Access, 2024)

Comparative Analysis of Metaheuristics for Solving the Optimal Power Flow With Renewable Sources and Valve-Point Constraints. - Gerardo A. Castañón; Ana María Sarmiento; Alberto F. Martínez-Herrera; Alejandro Aragón Zavala; Fernando Lezama; Zita Vale (IEEE Access, 2024)

Comparison of evolutionary algorithms for solving risk-based energy resource management considering conditional value-at-risk analysis. - José Almeida 002; João P. Soares; Fernando Lezama; Zita Vale; Bruno Francois (Math. Comput. Simul., 2024)

2023 Portuguese Energy Tariffs: Retail and Feed-In Tariff Data. - Doria Filipe; Fernando Lezama; Zita Vale (Zenodo, 2024)

A systematic review of explainability in computational intelligence for optimization. - José Almeida 002; João P. Soares; Fernando Lezama; Steffen Limmer; Tobias Rodemann; Zita Vale (Comput. Sci. Rev., 2025)