Abstract: Numerical optimization-based solution to directional overcurrent relay (DOCR) coordination problem has been a widely addressed research problem in the recent past. Many linear (LP), ...

Abstract: The Optimal Meter Placement (OMP) problem is traditionally addressed using heuristic algorithms or nonlinear programming, which often face challenges regarding solution reproducibility and ...

We developed a novel algorithm to train robust decision tree based models (notably, Gradient Boosted Decision Tree). This repo contains our implementation under the XGBoost framework. We plan to merge ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...

Livestock feed formulation has significant impacts on livestock production and the environment. Linear and nonlinear constraints, framed as nutritional requirements and specific objectives, present a ...

In this mini-review, we introduce and summarize research from the Quantum Technologies Group (QTG) at Carnegie Mellon University related to computational experience with quantum annealing, performed ...

Msieve is the result of my efforts to understand and optimize how integers are factored using the most powerful modern algorithms. This documentation corresponds to version 1.54 of the Msieve library.

In the last decade, there have grown a number of applications of neural networks and machine learning. Based on the success of the neural network and machine learning applications in the real-world ...

Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...

Shipping companies operating liner services keep facing a high level of competition because of the increasing demand for these operators to provide fast, efficient, effective and reliable service. It ...