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Vinicius Renan de Carvalho
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Hyper-heuristics based on reinforcement learning, balanced heuristic selection and group decision acceptance
VA de Santiago Júnior, E Özcan, VR de Carvalho
Applied Soft Computing 97, 106760, 2020
162020
Applying copeland voting to design an agent-based hyper-heuristic
VR de Carvalho, JS Sichman
Proceedings of the 16th conference on autonomous agents and multiagent …, 2017
132017
Solving real-world multi-objective engineering optimization problems with an Election-Based Hyper-Heuristic
VR de Carvalho, JS Sichman
International Workshop on Optimization in Multiagent Systems (OptMAS-18), 2018
92018
Multi-Agent Election-Based Hyper-Heuristics
VR de Carvalho, JS Sichman
23rd International Joint Conference on Artificial Intelligence (IJCAI), 2018
82018
Applying social choice theory to solve engineering multi-objective optimization problems
VR Carvalho, K Larson, AAF Brandão, JS Sichman
Journal of Control, Automation and Electrical Systems 31 (1), 119-128, 2020
72020
Comparative Analysis of Selection Hyper-Heuristics for Real-World Multi-Objective Optimization Problems
VR de Carvalho, E Özcan, JS Sichman
Applied Sciences 11 (19), 9153, 2021
32021
Satisfying user preferences in optimised ridesharing services
VR de Carvalho, F Golpayegani
Applied Intelligence, 1-16, 2022
22022
Uma hiper-heurística de seleção baseada em decomposição para estabelecer sequências de módulos para o teste de software
VR de Carvalho
22015
Uma hiper-heurıstica de seleç ao de meta-heurısticas para estabelecer sequências de módulos para o teste de software
VR Carvalho, SR Vergilio, ATR Pozo
22015
Um estudo sobre Otimização por Partículas aplicado ao problema de roteamento de veículos com demandas estocásticas
VR de Carvalho, ATR Pozo
ENIAC, 2014
22014
Evolutionary Computation Meets Multiagent Systems for Better Solving Optimization Problems
VR de Carvalho, JS Sichman
General Conference on Emerging Arts of Research on Management and …, 2019
12019
Using multi-agent systems and social choice theory to design hyper-heuristics for multi-objective optimization problems.
VR Carvalho
Universidade de São Paulo, 2022
2022
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