Today Merle received this year’s Breakthrough Prize in Mathematics for his achievements. The prize comes with a $3-million ...

Purpose-built small language models provide a practical solution for government organizations to operationalize AI with the ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

We study some nonlinear optimal control problems under state constraint. We construct extremal flows by differential-algebraic equations to solve an optimal control problem subject to mixed ...

Bayesian statistics remain popular for addressing inverse problems, whereby quantities of interest are determined from their noisy and indirect observations. Bayes’ theorem forms the foundation of ...

Abstract: The utilization of both constrained and unconstrained-based optimization for solving constrained multiobjective optimization problems (CMOPs) has become prevalent among recently proposed ...