A generalized Nash equilibrium (GNE) framework is introduced for a graphon mean field game of controls (GMFGC). Each agent's drift, cost, and hard contro...

TREGO, a trust-region Bayesian optimization (BO) method for expensive blackbox problems, has convergence guarantees, but only for exact function values. In h...

In this work, we address the optimal energy trading~(OET) problem in distribution grids operated by an energy grid operator (EGO) and a large number of prosu...

Electricity grid capacity is rapidly becoming a major bottleneck in the large-scale integration of electric vehicles (EVs). With this motivation, we address ...

This paper addresses the problem of data-driven stabilization of continuous-time linear time-invariant systems. The objective is to design a dynamic output-...

Column generation is a widely used dual-guided approach to solve highly degenerate problems. During the resolution, the degeneracy of the master problem ofte...

We consider an electricity supplier for a large commercial electric vehicle (EV) fleet. The supplier uses a dynamic pricing scheme for buying and selling ene...

Log transportation accounts for up to 40% of operating costs in the Canadian forestry sector Audy et al. (2023), yet optimization tools for transportatio...

Tourism is a major contributor to South Africa’s economy. Before the COVID-19 pandemic, it accounted for about 8.6% of national GDP. Nature reserves play an ...

We study methods for approximating road-network distances on dense urban maps, with a focus on downstream optimization tasks such as route planning. In many ...

Generalized smoothness assumptions have attracted growing attention in recent years, motivated in part by machine learning problems in which the gradient of ...

Equilibrium modeling for power markets usually assumes convexity of each players' optimization problem. Although the importance of accounting for fixed gener...

This paper introduces a two-stage stochastic quadratic knapsack problem (TSSQKP) with uncertainty in both profits and weights. To overcome the computational ...

This paper examines firm competition in markets where demand depends on firms' announced resource stocks or production capacities. We develop a two-stage m...

We present optimization models that simultaneously determine ship path, speed profile, and hybrid power system operations. Our approach integrates solar phot...

The field of Blackbox Optimization (BBO) lacks publicly available realistic engineering benchmark problems. This work proposes Micro-PRIAD, a collection of...

This document contains the complete geometric derivations and analytical proofs supporting the results stated and used in the main manuscript. Results that ...

Large-scale distributed wireless networks that offer connectivity through multi-hop communication are considered for infrastructure-free, cost-effective conn...

We introduce Envelopt, a globally convergent iterative framework for a broad class of structured optimization problems where a smooth objective is augmented ...

In this paper, a new deterministic model is developed for the real-time optimization of microgrids with diesel gensets and battery energy storage systems. Th...