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Solving the one-commodity pickup and delivery problem using an adaptive hybrid VNS/SA approach

Hosny, Manar I. and Mumford, Christine Lesley 2010. Solving the one-commodity pickup and delivery problem using an adaptive hybrid VNS/SA approach. Presented at: 11th International Conference, Kraków, Poland, 11-15 Sept 2010. Parallel problem-solving from nature PPSN X. Lecture notes in computer science , vol. 6239. Springer, pp. 189-198. 10.1007/978-3-642-15871-1_20

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Abstract

In the One-Commodity Pickup and Delivery Problem (1- PDP), a single commodity type is collected from a set of pickup customers to be delivered to a set of delivery customers, and the origins and destinations of the goods are not paired. We introduce a new adaptive hybrid VNS/SA (Variable Neighborhood Search/Simulated Annealing) approach for solving the 1-PDP. We perform sequences of VNS runs, where neighborhood sizes, within which the search is performed at each run, are adaptable. Experimental results on a large number of benchmark instances indicate that the algorithm outperforms previous heuristics in 90% of the large size test cases. Nevertheless, this comes at the expense of an increased processing time.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Publisher: Springer
ISBN: 9783642158704
ISSN: 0302-9743
Date of First Compliant Deposit: 30 March 2016
Last Modified: 04 Jun 2017 04:03
URI: http://orca.cf.ac.uk/id/eprint/31784

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