Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

AutoOED is an optimal experimental design platform powered with automated machine learning to accelerate the discovery of optimal solutions. Our platform solves multi-objective optimization problems ...

Abstract: Modeling and control of epidemic-like spreading processes, such as contagions, rumors or products in complex networks, holds profound significance for understanding transmission mechanisms, ...

Abstract: In this article, the optimal leader-following consensus control problem of multi-agent systems is solved using a novel neural network-based (NN-based) integrated heuristic dynamic ...

The Slotozilla model is based on the principle that players first examine RTP, volatility, and bonus mechanics before ...