Carolina Gil Marcelino

Orcid: 0000-0002-7595-8227

According to our database1, Carolina Gil Marcelino authored at least 25 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Machine Learning Health Estimation for Lithium-Ion Batteries Under Varied Conditions.
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

2023
Solving an energy resource management problem with a novel multi-objective evolutionary reinforcement learning method.
Knowl. Based Syst., November, 2023

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

2022
Feature space partition: a local-global approach for classification.
Neural Comput. Appl., 2022

An Improved C-DEEPSO Algorithm for Optimal Active-Reactive Power Dispatch in Microgrids With Electric Vehicles.
IEEE Access, 2022

Missing Data Analysis in Regression.
Appl. Artif. Intell., 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

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
An efficient multi-objective evolutionary approach for solving the operation of multi-reservoir system scheduling in hydro-power plants.
Expert Syst. Appl., 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
A combined optimisation and decision-making approach for battery-supported HMGS.
J. Oper. Res. Soc., 2020

2019
CE+EPSO: a merged approach to solve SCOPF problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 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
Solving security constrained optimal power flow problems: a hybrid evolutionary approach.
Appl. Intell., 2018

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

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

2016
A successful parallel implementation of NSGA-II on GPU for the energy dispatch problem on hydroelectric power plants.
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

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
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
An algorithm based on Evolution Strategies for makespan minimization in hybrid flexible flowshop scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 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


  Loading...