The optimal power flow (OPF) integrates the computation of power flow and economic dispatch subject to the system’s physical and electrical constraints 1. In the research field of electrical power ...

1 Department of Mathematics, University of Patras, Patras, Greece. 2 Department of Business Administration, University of Patras, Patras, Greece. This paper presents a new dimension reduction strategy ...

Abstract: LGP has been successfully applied to dynamic job shop scheduling (DJSS) to automatically evolve dispatching rules. Flow control operations are crucial in concisely describing complex ...

In 2022, a team of computer scientists presented a groundbreaking algorithm for the maximum flow problem: How does one transport the most supplies from a source node to a sink node in a network while ...

Download PDF Join the Discussion View in the ACM Digital Library The maximum flow problem and its generalization, the minimum-cost flow problem, are classic combinatorial graph problems that find ...

In this paper, aiming to achieve the target of carbon emission orientation, a multi-objective optimization model of the multi-energy flow coupling system is proposed, in which all the environmental ...

The goal of the course is to improve programming and problem-solving skills of the students by facing them with difficult problems and by presenting the techniques that help their reasoning in the ...

Scheduling is a decision-making process in which re-sources are allocated to different tasks under certain constraints. Early work in the field of scheduling was driven by manufacturing, and although ...

Physics-Informed Neural Networks (PINN) are neural networks encoding the problem governing equations, such as Partial Differential Equations (PDE), as a part of the neural network. PINNs have emerged ...

Abstract: Linear optimal power flow (OPF) formulations are powerful tools applied to a large number of problems in power systems, e.g., economic dispatch, expansion planning, state estimation, ...