4 papers
Quantum Circuit Design Search
Mohammad Pirhooshyaran, Tamas Terlaky
This article explores search strategies for the design of parameterized quantum circuits. We propose several optimization approaches including random search plus survival of the fi…
Simultaneous Decision Making for Stochastic Multi-echelon Inventory Optimization with Deep Neural Networks as Decision Makers
Mohammad Pirhooshyaran, Lawrence V. Snyder
We propose a framework that uses deep neural networks (DNN) to optimize inventory decisions in complex multi-echelon supply chains. We first introduce pairwise modeling of general…
Feature Engineering and Forecasting via Derivative-free Optimization and Ensemble of Sequence-to-sequence Networks with Applications in Renewable Energy
Mohammad Pirhooshyaran, Katya Scheinberg, Lawrence V. Snyder
This study introduces a framework for the forecasting, reconstruction and feature engineering of multivariate processes along with its renewable energy applications. We integrate d…
Multivariate, Multistep Forecasting, Reconstruction and Feature Selection of Ocean Waves via Recurrent and Sequence-to-Sequence Networks
Mohammad Pirhooshyaran, Lawrence V. Snyder
This article explores the concepts of ocean wave multivariate multistep forecasting, reconstruction and feature selection. We introduce recurrent neural network frameworks, integra…