University of Twente Student Theses

Login

Application of Adaptive Large Neighbourhood Search for a Rich and Real-World Vehicle Routing Problem

Kroep, S. (2019) Application of Adaptive Large Neighbourhood Search for a Rich and Real-World Vehicle Routing Problem.

[img] PDF
2MB
Abstract:ORTEC is a supplier of optimization software. The ability to find efficient routes is in the core of their DNA. With their services they support esteemed customers to save costs and improve the delivery process. With larger and more complex business cases arriving, ORTEC always challenges themselves to find new and better ways to determine efficient routes. Research shows that Adaptive Large Neighbourhood Search is a good improvement heuristic for complex and large cases. We are asked to investigate how the Adaptive Large Neighbourhood Search should be applied to a specific customer case.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:01 general works, 58 process technology
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:http://purl.utwente.nl/essays/79777
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page