Chance-constrained programming (CCP) is one of the most difficult classes of optimization
problems that has attracted the attention of researchers since the 1950s. In this survey, we …

In this position paper on reliable networks, we discuss new trends in the design of reliable
communication systems. We focus on a wide range of research directions including …

This paper provides an introduction to algorithms for two-stage stochastic mixed-integer
programs. Our focus is on methods that decompose the problem by scenarios representing …

We consider stochastic influence maximization problems arising in social networks. In
contrast to existing studies that involve greedy approximation algorithms with a 63 …

In the current practice of short‐term power scheduling, online power reserves are used to
address generation mismatches and contingencies. Neither online inertia nor the speed of …

In this paper, a comprehensive two-stage robust distribution system operation model is
proposed by adjusting the charging of electric vehicle aggregators (EVAs) and curtailing …

We develop a joint offloading and resource allocation framework for a multi-layer
cooperative fog computing network, aiming to minimize the total energy consumption of …

This paper focuses on solving two-stage stochastic mixed integer programs (SMIPs) with
general mixed integer decision variables in both stages. We develop a decomposition …

The storage and distribution of medical supplies are important parts of epidemic prevention
and control. This paper first proposes a new nonsmooth two-stage stochastic equilibrium …

We propose a novel approach using supervised learning to obtain near-optimal primal
solutions for two-stage stochastic integer programming (2SIP) problems with constraints in …