Vinicius Renan de Carvalho

Victoria Sousa Figueira Gonçalves

Neural Comput. Appl., October, 2025

A Review of Interpretability Methods for Gradient Boosting Decision Trees.

[BibT_eX]

[DOI]

J. Braz. Comput. Soc., 2025

2024

Applying Multi-Agent Negotiation to Solve the Production Routing Problem With Privacy Preserving.

[BibT_eX]

[DOI]

Luiza Pellin Biasoto

CoRR, 2024

HEACT: Hybrid Evolutionary Algorithm for the Multi-region Multi-objective Cloud Task Scheduling Problem. A Study of Workflow Scheduling in AWS EC2.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Systems - 34th Brazilian Conference, 2024

2023

Multi-Value Alignment in Normative Multi-Agent System: An Evolutionary Optimisation Approach.

[BibT_eX]

[DOI]

Maha Riad

CoRR, 2023

Multi-Value Alignment in Normative Multi-Agent System: Evolutionary Optimisation Approach.

[BibT_eX]

[DOI]

Maha Riad

CoRR, 2023

2022

Satisfying user preferences in optimised ridesharing services.

[BibT_eX]

[DOI]

Valdivino Alexandre de Santiago Júnior

Appl. Intell., 2022

2020

Hyper-Heuristics based on Reinforcement Learning, Balanced Heuristic Selection and Group Decision Acceptance.

[BibT_eX]

[DOI]

Ender Özcan

Appl. Soft Comput., 2020

2018

Multi-Agent Election-Based Hyper-Heuristics.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Applying Copeland Voting to Design an Agent-Based Hyper-Heuristic.

[BibT_eX]

[DOI]