21 papers · ranked by Valyu relevance
Kimmo Nurmi, Jari Kyngäs, Pauliina Halme
We study a timetabling problem faced by Finnish universities, where the challenge is to balance the preferences of three key stakeholders: the university, teachers, and students. Educational timetabling is an essential task that ensures that everything runs effortlessly and collaboratively. Its efficiency significantly…
Sara Ceschia, Luca Di Gaspero, Andrea Schaerf
We propose a survey of the research contributions on the field of Educational Timetabling with a specific focus on "standard" formulations and the corresponding benchmark instances. We identify six of such formulations and we discuss their features, pointing out their relevance and usability. Other available…
Fabian Dunke, Stefan Nickel
Course timetables are the organizational foundation of a university’s educational program. While students and lecturers perceive timetable quality individually according to their preferences, there are also collective criteria derived normatively such as balanced workloads or idle time avoidance. A recent challenge and…
Matthew Davison, Ahmed Kheiri, Konstantinos G. Zografos
The university course timetabling problem is a challenging problem to solve. As universities have evolved, the features of this problem have changed. One emerging feature is hybrid teaching where classes can be taught online, in-person or a combination of both in-person and online. This work presents a multi-objective…
Yawei Li, Baoming Han, Peng Zhao, Ruixia Yang + 1 more
In recent years, with increasing passenger travel demand, high-speed railways have developed rapidly. The stop planning and timetabling problems are the core contents of high-speed railway transport planning and have important practical significance for improving efficiency of passenger travel and railway operation…
Rubén Ruiz-Torrubiano, Sebastian Knopp, Andreas Krystallidis, Lukas Matthias Wolf
'Lukas Matthias Wolf'] In modular educational systems, students are allowed to choose a part of their curriculum themselves. The rationale behind letting students choose their courses themselves is to enhance self-responsibility, improve student motivation, and allow for focus on specific areas of interest. A central…
Ravneil Nand, Bibhya Sharma, Kaylash Chaudhary, Yilun Shang
In recent times, there has been a growing attention to intelligent optimization algorithms centred on swarm principles such as the firefly algorithm (FA). It was proposed for the continuous domain that mimics the attraction of fireflies to flashing light and has been used in discrete domains via modification. A…
Ahmed Redha Mahlous, Houssam Mahlous, Yilun Shang
Universities face a constant challenge when distributing students and allocating them to their required classes, especially for a large mass of students. Generating feasible timetables is a strenuous task that requires plenty of resources, which makes it impractical to take student preferences into consideration during…
Keshu Wu, Xinyue Ye, Suphanut Jamonnak, Xin Feng
Efficient and adaptive course timetabling for large, dynamic university campuses remains a significant challenge due to the complex interplay of hard and soft constraints. Traditional static optimization methods often fail to accommodate real-time disruptions, evolving user preferences, and the nuanced spatial–temporal…
Ohmchana Klinsod, Parin Chaipunya
In this paper, we propose a mathematical model for class scheduling using binary linear programming with the aims to automate the tedious task and to minimize the leftover seats distributed over all the classrooms. A case study at the Department of Mathematics, King Mongkut's University of Technology Thonburi (KMUTT)…
Matthew E.H. Petering, Mohammad Khamechian
Problem definition: Scheduling university courses is extra challenging when classroom capacities are reduced because of social distancing requirements that are implemented in response to a pandemic such as COVID-19. Methodology: In this work, we propose an expanded taxonomy of course delivery modes, present an integer…
Bernd Bassimir, Rolf Wanka
In the literature the examination timetabling problem (ETTP) is often considered a post-enrollment problem (PE-ETTP). In the real world, universities often schedule their exams before students register using information from previous terms. A direct consequence of this approach is the uncertainty present in the…
João Almeida, José Rui Figueira, Alexandre P. Francisco, Daniel Santos
'Daniel Santos'] This work presents a hybrid meta-heuristic for generating feasible course timetables, focusing on large-scale problems. We test it on instances from our university, for which the currently used commercial software takes several hours to find feasible solutions and often fails to comply with some…
Authors not listed
Automated chemistry platforms hold the potential to enable large-scale organic synthesis campaigns, such as producing a library of compounds for biological evaluation. The efficiency of such platforms will depend on the schedule according to which the synthesis operations are executed. In this work, we study the…
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Background: Pharmaceutical batch production faces significant scheduling challenges due to operational uncertainties including equipment failures, yield variability, and demand fluctuations. While scheduling heuristics are widely used in practice, their comparative performance under varying uncertainty conditions…
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Background: Pharmaceutical batch scheduling in multi-reactor configurations presents complex optimization challenges under operational uncertainty, yet limited research addresses how parallel processing capacity affects heuristic performance and predictive modeling. Objectives: This study investigated scheduling…
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This paper presents GLAS (Git-based Lab Automated Scheduler or Get Lab Automation Simplified), an open-source, robust, and highly expandable Git-based architecture designed for laboratory automation. GLAS can be deployed in both partially and fully automated experimental science laboratories, enabling the development…
Benjamin J. De Corte, Sean J. Farley, Kelsey A. Heslin, Krystal L. Parker + 1 more
To act proactively, we must predict when future events will occur. Individuals generate temporal predictions using cues that indicate an event will happen after a certain duration elapses. Neural models of timing focus on how the brain represents these cue-duration associations. However, these models often overlook the…
Dimitrije Marković, Andrea M.F. Reiter, Stefan J. Kiebel
Precisely timed behaviour and accurate time perception plays a critical role in our everyday lives, as our well-being and even survival can depend on well-timed decisions. Although the temporal structure of the world around us is essential for human decision making, we know surprisingly little about how representation…
Russell Jeter, Dmitrii Todorov, Yaroslav Molkov
A clinician guiding a stroke patient through a 45-minute rehabilitation session, a coach planning a training day, a teacher choosing the order of practice problems, they all face the same question: “given everything practiced so far, what should the next trial be?” The motor-learning literature offers two coarse…
Soniya Devi Yambem, Manjari Jain
Time is an important and limited resource that can drive the trade-off between various essential activities in the lives of animals. Group-living animals need to perform different behaviour to meet their individual needs and also participate in group activities. They must, therefore, partition the available time…