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Models and branch‐and‐cut algorithms for pickup and delivery problems with time windows
Author(s) -
Ropke Stefan,
Cordeau JeanFrançois,
Laporte Gilbert
Publication year - 2007
Publication title -
networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.977
H-Index - 64
eISSN - 1097-0037
pISSN - 0028-3045
DOI - 10.1002/net.20177
Subject(s) - pickup , computer science , branch and cut , vehicle routing problem , set (abstract data type) , mathematical optimization , limit (mathematics) , algorithm , time limit , running time , integer programming , mathematics , routing (electronic design automation) , computer network , engineering , artificial intelligence , mathematical analysis , image (mathematics) , programming language , systems engineering
In the pickup and delivery problem with time windows (PDPTW), capacitated vehicles must be routed to satisfy a set of transportation requests between given origins and destinations. In addition to capacity and time window constraints, vehicle routes must also satisfy pairing and precedence constraints on pickups and deliveries. This paper introduces two new formulations for the PDPTW and the closely related dial‐a‐ride problem (DARP) in which a limit is imposed on the elapsed time between the pickup and the delivery of a request. Several families of valid inequalities are introduced to strengthen these two formulations. These inequalities are used within branch‐and‐cut algorithms which have been tested on several instance sets for both the PDPTW and the DARP. Instances with up to eight vehicles and 96 requests (194 nodes) have been solved to optimality. © 2007 Wiley Periodicals, Inc. NETWORKS, Vol. 49(4), 258–272 2007