Electric power systems and the companies and customers that interact with them are
experiencing increasing levels of uncertainty due to factors such as renewable energy …

In the last few years, the formulation of real-world optimization problems and their efficient
solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In …

Supply chain network design (SCND) is one of the most crucial planning problems in supply
chain management (SCM). Nowadays, design decisions should be viable enough to …

The study of supply chain (SC) resilience as a research perspective is in an incipient state.
Nevertheless, there is a tremendous amount of literature concerning SCs under risk and …

In this paper, we survey the primary research on the theory and applications of
distributionally robust optimization (DRO). We start with reviewing the modeling power and …

In this paper, we present a column-and-constraint generation algorithm to solve two-stage
robust optimization problems. Compared with existing Benders-style cutting plane methods …

The increasing demand for electricity and the emergence of smart grids have presented new
opportunities for home energy management systems (HEMS) in demand response markets …

A relaying can significantly improve performance of contemporary mobile networks in terms
of capacity and/or energy consumption. Nevertheless, an incorporation of conventional relay …

The concepts of portfolio optimization and diversification have been instrumental in the
development and understanding of financial markets and financial decision making. In light …

This paper proposes a distributionally robust optimization model for solving unit commitment
(UC) problems considering volatile wind power generation. The uncertainty of wind power is …