This study proposes a robust optimization framework for the joint optimization of tanker deployment and refueling strategies under uncertainties in berthing times and fuel prices. Unlike traditional ...

Want your business to show up in Google’s AI-driven results? The same principles that help you rank in Google Search still matter – but AI introduces new dimensions of context, reputation, and ...

A Webster Groves wine bar has defaulted on its rent, its landlord claims. Retail Reporter {{description}} Email notifications are only sent once a day, and only if there are new matching items. Owners ...

Users are more prepared to buy than ever before when they arrive at your site from an answer engine. The answer engine optimization industry has been infected by a terrible disease of terms that don’t ...

In collaboration with a hospital, researchers examined problems related to the timing and scheduling of surgeries and patients’ stays in recovery units. They developed an integrated elective surgery ...

We consider a distribution network integrating demand response (DR) participants in the presence of uncertain renewable suppliers and outdoor temperatures. A bilevel optimization model is proposed to ...

DR-GEM is a self-supervised meta-algorithm that combines principles in distributionally robust optimization with balanced consensus machine learning to overcome the challenges of latent class ...

1 State Grid Anhui Electric Power Co., Ltd., Hefei, China 2 School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China Since renewable energy generation has strong ...

As pressure to reduce costs increases, CFOs have an opportunity to deepen their cross-functional influence and fortify their advisory role to the CEO and other C-suite leaders. Capitalizing on this ...

Abstract: Drawing on the minimization of worst-case maximum likelihood (ML) estimation, this article develops a robust inverse clutter-plus-noise covariance matrix (CNCM) estimator for space–time ...