Long-Term Memory Retention of Educational Content: How Machine Learning concepts can be remembered for the rest of our careers with the right practice questions

To aid the teachings of machine learning (ML), the usage of elaborative interrogative practice questions (EIPQ) is proposed to increase the long-term memory retention of said teaching. Firstly, the existing expectations of students in the current educational landscape are analyzed by taking a look at the undergraduate course present in Delft...

The impact of soft time windows with penalties on the objective values of large real-world Vehicle Routing Problems

In a Vehicle Routing Problem with Time Windows (VRPTW), orders have to be picked up and delivered within certain time windows. In practice, planners often allow violations of these time windows, when the solutions with violations have better objective values. This is done by changing the problem into a Vehicle Routing Problem with Soft Time...