3 papers
math.OC2026
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…
math.OC2026
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…
cs.SE2026
PymooLab: An Open-Source Visual Analytics Framework for Multi-Objective Optimization using LLM-Based Code Generation and MCDM
Thiago Santos, Sebastiao Xavier, Luiz Gustavo de Oliveira Carneiro +1
Multi-objective optimization is now a core paradigm in engineering design and scientific discovery. Yet mainstream evolutionary frameworks, including \textit{pymoo}, still depend o…