| Hyper-heuristics based on reinforcement learning, balanced heuristic selection and group decision acceptance VA de Santiago Junior, E Özcan, VR de Carvalho Applied Soft Computing 97, 106760, 2020 | 37 | 2020 |
| 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 | 22 | 2021 |
| 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 | 15 | 2020 |
| 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 | 13 | 2017 |
| Satisfying user preferences in optimised ridesharing services: A multi-agent multi-objective optimisation approach VR de Carvalho, F Golpayegani Applied Intelligence 52 (10), 11257-11272, 2022 | 11 | 2022 |
| 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 | 9 | 2018 |
| Multi-Agent Election-Based Hyper-Heuristics VR de Carvalho, JS Sichman 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2018 | 7 | 2018 |
| Um estudo sobre Otimização por Partículas aplicado ao problema de roteamento de veículos com demandas estocásticas VR de Carvalho, ATR Pozo ENIAC, 2014 | 4 | 2014 |
| 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 | 3 | 2019 |
| Using multi-agent systems and social choice theory to design hyper-heuristics for multi-objective optimization problems. VR Carvalho Universidade de São Paulo, 2022 | 2 | 2022 |
| Uma hiper-heurística de seleção baseada em decomposição para estabelecer sequências de módulos para o teste de software VR de Carvalho | 2 | 2015 |
| 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 | 2 | 2015 |
| Optimising multi-value alignment: a multi-objective evolutionary strategy for normative multi-agent systems M Riad, VR de Carvalho, F Golpayegani Neural Computing and Applications, 1-19, 2024 | | 2024 |
| HEACT: Hybrid Evolutionary Algorithm for the Multi-region Multi-objective Cloud Task Scheduling Problem. A Study of Workflow Scheduling in AWS EC2 VR de Carvalho, JS Sichman Brazilian Conference on Intelligent Systems, 49-64, 2024 | | 2024 |
| Applying Multi-Agent Negotiation to Solve the Production Routing Problem With Privacy Preserving LP Biasoto, VR de Carvalho, JS Sichman arXiv preprint arXiv:2406.09214, 2024 | | 2024 |
| Multi-Value Alignment in Normative Multi-Agent System: Evolutionary Optimisation Approach M Riad, VR de Carvalho, F Golpayegani arXiv preprint arXiv:2305.07366, 2023 | | 2023 |
| Towards Cost-Efficiency and Reduced Carbon Footprint: a Multi-Armed Bandit Hyper-Heuristic for Cloud Scheduling Problems VR de Carvalho, JS Sichman Available at SSRN 4878470, 0 | | |
| Hyper-Heuristics based on Reinforcement Learning, Balanced Heuristic Selection and Group Decision Acceptance VR Carvalho Applied Soft Computing 97 (Part A), 0 | | |
Jaime Simão SichmanFull Professor, University of São Paulo, BrazilVerified email at usp.br
