Applying Copeland Voting to Design an Agent-Based Hyper-Heuristic. - Vinicius Renan de Carvalho; Jaime Simão Sichman (AAMAS, 2017)

Multi-Agent Election-Based Hyper-Heuristics. - Vinicius Renan de Carvalho; Jaime Simão Sichman (IJCAI, 2018)

Hyper-Heuristics based on Reinforcement Learning, Balanced Heuristic Selection and Group Decision Acceptance. - Valdivino Alexandre de Santiago Júnior; Ender Özcan; Vinicius Renan de Carvalho (Appl. Soft Comput., 2020)

Satisfying user preferences in optimised ridesharing services. - Vinicius Renan de Carvalho; Fatemeh Golpayegani (Appl. Intell., 2022)

Multi-Value Alignment in Normative Multi-Agent System: Evolutionary Optimisation Approach. - Maha Riad; Vinicius Renan de Carvalho; Fatemeh Golpayegani (CoRR, 2023)

Multi-Value Alignment in Normative Multi-Agent System: An Evolutionary Optimisation Approach. - Maha Riad; Vinicius Renan de Carvalho; Fatemeh Golpayegani (CoRR, 2023)

HEACT: Hybrid Evolutionary Algorithm for the Multi-region Multi-objective Cloud Task Scheduling Problem. A Study of Workflow Scheduling in AWS EC2. - Vinicius Renan de Carvalho; Jaime Simão Sichman (BRACIS (2), 2024)

Applying Multi-Agent Negotiation to Solve the Production Routing Problem With Privacy Preserving. - Luiza Pellin Biasoto; Vinicius Renan de Carvalho; Jaime Simão Sichman (CoRR, 2024)