Carolina P. Almeida

Universidade Estadual do Centro-Oeste — Brazil

Computer Science · Physical Sciences

12h-index480citations45works1.02yr avg
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Research Topics

Metaheuristic Optimization Algorithms Research(30), Advanced Multi-Objective Optimization Algorithms(30), Evolutionary Algorithms and Applications(12), Electric Power System Optimization(7), Scheduling and Optimization Algorithms(5)

Publications45 total

Explorando a vida de Hedy Lamarr em um jogo motivacional para meninas em STEM
2024· 2 citedOpen Access
OurPlace: Amazing Grace - Um jogo como ferramenta motivadora para meninas na área de STEM
2024· 1 citedOpen Access
Metaheuristics and machine learning: an approach with reinforcement learning assisting neural architecture search
Journal of Heuristics·2024
Selection hyper-heuristics for the multi and many-objective quadratic assignment problem
Computers & Operations Research·2022· 21 cited
Thompson Sampling in Heuristic Selection for the Quadratic Assignment Problem
2021Open Access
Comparing Selection Hyper-Heuristics for Many-Objective Numerical Optimization
2021· 7 cited
Hyper-Heuristic Based NSGA-III for the Many-Objective Quadratic Assignment Problem
Lecture notes in computer science·2021· 6 cited
Algoritmo Híbrido para o Problema Flow Shop de Permutação Multiobjetivo
2020Open Access
An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the Environmental/Economic Load Dispatch problem
Expert Systems with Applications·2020· 51 cited
Solving Multi-Objective Problems with MOEA/D and Quasi-Simplex Local Search
2020
Hyper-heuristics using multi-armed bandit models for multi-objective optimization
Applied Soft Computing·2020· 42 cited
Multi-objective Quadratic Assignment Problem: An Approach Using a Hyper-Heuristic Based on the Choice Function
Lecture notes in computer science·2020· 6 cited
A New Adaptive Operator Selection for NSGA-III Applied to CEC 2018 Many-Objective Benchmark
2018· 11 cited
Multi-armed Bandit Based Hyper-Heuristics for the Permutation Flow Shop Problem
2018· 13 cited
Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm
Applied Soft Computing·2018· 7 cited
Boosting the Performance of MOEA/D-DRA with a Multi-Objective Hyper-Heuristic Based on Irace and UCB Method for Heuristic Selection
2018· 12 cited
A New Hyper-Heuristic Based on a Contextual Multi-Armed Bandit for Many-Objective Optimization
2018· 13 cited
Probabilistic Analysis of Pareto Front Approximation for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm
2017· 5 cited
A New Hyper-Heuristic Based on a Restless Multi-armed Bandit for Multi-objective Optimization
2017· 10 cited
A Hyper-Heuristic in MOEA/D-DRA Using the Upper Confidence Bound Technique
2017· 6 cited
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Frequent Co-authors

Richard A. Gonçalves(35), Myriam Delgado(26), Sandra M. Venske(22), Josiel N. Kuk(11), Ricardo Lüders(9), Lucas Marcondes Pavelski(8), Aurora Pozo(7), Elizabeth Ferreira Gouvêa Goldbarg(7), Marco C. Goldbarg(7), Marcella Scoczynski Ribeiro Martins(4), Roberto Santana(4), Lucas Prestes(4), Bianca N. K. Senzaki(2), Paula Y. Nizer(1), Paula Y. Nizer(1), Isabel Ap. Duarte(1), Gustavo H. Czaikoski(1), Paulo Roberto Urio(1), Sandra Mara G. S. Venske(1), Volmir Fiorini Júnior(1)