A bilevel programming model represents the relationship in a specific decision process that
involves decisions within a hierarchical structure of two levels. The upper-level problem is …

Bilevel optimization is a very active field of applied mathematics. The main reason is that
bilevel optimization problems can serve as a powerful tool for modeling hierarchical …

Abstract Machine learning (ML) has been recently introduced to solving optimization
problems, especially for combinatorial optimization (CO) tasks. In this paper, we survey the …

Autonomous underwater vehicle (AUV) plays a great role in the ocean engineering, and
path planning is one of its key technologies. For such scenarios as oil spill detection, AUV …

Inverse optimization describes a process that is the “reverse” of traditional mathematical
optimization. Unlike traditional optimization, which seeks to compute optimal decisions given …

As extreme weather disasters become more frequent and violent, there is grown emphasis
on the resilience of electricity-gas systems, especially in preventing the extreme-weather …

Traditional funding mechanisms for healthcare projects involve ranking the projects and
awarding funds based on their cost to benefit ratio. An alternative funding mechanism based …

For the cooperative operation of networked microgrids, a distributed energy management
considering network operational objectives and constraints is proposed in this work …

Mixed-integer linear programming (MILP) has become a cornerstone of operations research.
This is driven by the enhanced efficiency of modern solvers, which can today find globally …

The impact of integrating hybrid (wind and solar) renewable energy sources with energy
storage devices in Micro-grid (MG) operations under the deregulated electricity market is …