Large neighbourhood search with adaptive guided ejection search for the pickup and delivery problem with time windows
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1318857
- Type
- D - Journal article
- DOI
-
10.1007/s13676-017-0115-6
- Title of journal
- Euro Journal of Transportation and Logistics
- Article number
- -
- First page
- 151
- Volume
- 7
- Issue
- 2
- ISSN
- 2192-4384
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The pickup and delivery problem with time windows (PDPTW) is a very difficult optimisation problem in transport logistics. Computationally efficient algorithms to solve it are essential for real-world applications. The proposed hybrid algorithm produced new best-known solutions for many of the scientific benchmark instances, some of which remain unbeaten (https://www.sintef.no/projectweb/top/pdptw/li-lim-benchmark/documentation/). The algorithm was adopted by fleet management company Microlise and forms the basis of their new product offering ‘Planning and Optimisation’ (https://www.microlise.com/fleet-management/planning-optimisation/).
Contact: Dr Mohamad Mesgarpour (mohammad.mesgarpour@microlise.com), Head of Data Science and Operational Research at Microlise.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
