The proposed model is based on the stochastic fractal search (SFS) – a powerful metaheuristic – and a nature-inspired algorithm that is claimed to solve complex optimization problems.

Patrick Jaillet, Xin Lu, Online Stochastic Matching: New Algorithms with Better Bounds, Mathematics of Operations Research, Vol. 39, No. 3 (August 2014), pp. 624-646 ...

This paper proposes a simulation-based optimization (SO) method that enables the efficient use of complex stochastic urban traffic simulators to address various transportation problems. It presents a ...

The Data Science Lab Differential Evolution Optimization Dr. James McCaffrey of Microsoft Research explains stochastic gradient descent (SGD) neural network training, specifically implementing a ...

Mathematics Colloquium: Stochastic Variance-Reduced Majorization-Minimization Algorithms, Duy Nhat Phan 4/26 Submissions 04/20/2023 By Joris Roos The Department of Mathematics & Statistics, Kennedy ...