Dealing with climate change requires that all countries engage in costly efforts to reduce their emissions. Reaching this objective has so far been elusive...

In this paper, we propose an efficient payment scheme for sustaining cooperation in finitely many times repeated Prisoner's Dilemma games. The scheme is pa...

We characterize cooperative and non-cooperative solutions of a dynamic game played over event tree when the transition probability are not given. We assume...

Operating mining complexes constantly collect data from a wide variety of sources that directly or indirectly measure pertinent geological and geometallurg...

Training language models (LMs) under tight GPU memory budgets rules out standard back-propagation and motivates zeroth-order (ZO) optimization. While ZO m...

Many combinatorial optimization problems, such as vehicle and crew scheduling, can be modeled using path-flow formulations, where each variable represents a ...

One-dimensional models can enable the assessment of the dynamic behavior of hydropower units during transient operation with minimal computational resources....

Two families of directional direct search methods have emerged in derivative-free and blackbox optimization (DFO and BBO), each based on distinct principles:...

The present work studies the problem of sorting using comparisons involving three elements at a time. Each comparison only identifies the smallest, middle, ...

In this work, we propose improved task mapping strategies for real-time electric power system simulations on heterogeneous computing clusters, considering bo...

Modern power distribution networks (DNs) increasingly incorporate active distribution network technologies, such as distributed energy resources (DERs) and r...

Surrogate modeling with insufficient data can lead to high prediction uncertainty and errors. A promising remedy to address this issue is the use of transfer...

This paper introduces a novel variant of the Production Routing Problem (PRP) in a Two-Echelon supply chain involving multiple production plants, distributio...

Rolling stock scheduling and crew scheduling are two fundamental problems that arise in the planning of urban rail operations and that are especially importa...

Solving optimization problems in which functions are blackboxes and variables involve different types poses significant theoretical and algorithmic challeng...

Benchmarking is essential for assessing the effectiveness of optimization algorithms. This is especially true in derivative-free optimization, where target ...

Researchers around the globe attend the International Symposium on Mathematical Programming (ISMP) to share their latest results in mathematics, algorithms, ...

Hydropower generation plays a crucial role in the global energy landscape, offering a renewable and sustainable source of electricity. Accurate forecasting o...

Algorithm NCL was devised to solve a class of large nonlinearly constrained optimization problems whose constraints do not satisfy LICQ at a solution. It ...

We consider fair resource allocation in sequential decision-making environments modeled as weakly coupled Markov decision processes, where resource constrain...