University class scheduling problem is one of the most important and complex issues in the
academic field. This problem is recognized as one of the NP‐HARD issues due to its various …

In most organizations, especially order-oriented ones meeting deadlines are crucial. Job
shop environments could be mentioned as an example where decision makers are try to …

In university settings, scheduling coursework over an academic term and across several
courses is an extremely difficult task, owing to numerous complexities and constraints, such …

This study was conducted to promote a new adaptive cone algorithm (ACA) algorithm. ACA
is a metaheuristic technique based on swarm intelligence. ACA contains three steps. Each …

This research initially tried to investigate the integrated cross-domain combinatorial
optimization problem (COP) based on a real-world problem using observation and interview …

Some universities or institutions still have consequences from the unprecedented pandemic.
An effective course timetable has directly affected resource utilisation and travelling cost …

A new swarm intelligence-based metaheuristic optimizer, namely Partial Leader Optimizer
(PLO), is presented. PLO contains several autonomous agents that represent the solution …

This paper aims to show an optimum solution for the real-time examination timetabling
problem with a fixed number of sessions and a set of difficulty level of each course. The …

To implement IT, business, educational, scientific, etc. projects, it is required to have a team
of employees with specific competences. A very important aspect is also to guarantee the …

The covid-19 pandemic has significantly affected the education sector and raised the new
operational challenges that spring from the necessity of planning courses in a way to ensure …