The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...

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 ...

The optimization of auto parts supply chain logistics plays a decisive role in the development of the automotive industry. To reduce logistics costs and improve transportation efficiency, this paper ...

This study investigates the no-wait flow shop scheduling problem and proposes a hybrid (HES-IG) algorithm that utilizes makespan as the objective function. To address the complexity of this NP-hard ...

Abstract: The authors consider the job interval selection problem (JISP), a simple scheduling model with a rich history and numerous applications. Special cases of this problem include the so-called ...

The traditional power generation mix and the geographical distribution of units have faced structural reform with the increasing renewables. The existing scheduling schemes confront the optimization ...

Abstract: MU-MIMO technology is adopted in 5G to support the increasing number of user terminals accessing the 5G IoT systems. The algorithms adopted in the existing literatures for user scheduling in ...

Aug 2: I'll have 2-hour office hours on Wed, Aug 7, 11:30-13:30. Aug 2: The final exam on Aug 9 will be on all topics of the course, with equal emphasis. You'll have 3 hours for an exam that will be ...

Dynamic routing and congestion control are two major problems in software-defined hybrid satellite-terrestrial multicast networks research. Due to terrestrial users being allowed to join or leave the ...

Experimental Environment: Python version: 3.8.10. Ubuntu version: 20.04.1, 5.13.0-30-generic kernel. Run "pip3 install -r requirements.txt" to install the necessary ...