2 citations · 2 across the 4 of their papers we have counts for
4 papers
Lyapunov Stability of Stochastic Vector Optimization: Theory and Numerical Implementation
Thiago Santos, Sebastiao Xavier
The use of stochastic differential equations in multi-objective optimization has been limited, in practice, by two persistent gaps: incomplete stability analyses and the absence of…
An Adaptive KKT-Based Indicator for Convergence Assessment in Multi-Objective Optimization
Thiago Santos, Sebastiao Xavier
Performance indicators are essential tools for assessing the convergence behavior of multi-objective optimization algorithms, particularly when the true Pareto front is unknown or…
EmoPyLab: A Tensor-Native, Hardware-Accelerated Laboratory for High-Throughput Benchmarking and Decision-Making in Multi/Many-Objective Optimization
Thiago Santos, Sebastiao Xavier
This paper presents \textit{EmoPyLab}, an open-source, tensor-native Python framework for high-throughput benchmarking, analysis, and multi-criteria decision-making in multi- and m…
A Convergence indicator for Multi-Objective Optimisation Algorithms
Thiago Santos, Sebastiao Xavier
The algorithms of multi-objective optimisation had a relative growth in the last years. Thereby, it's requires some way of comparing the results of these. In this sense, performanc…