Computers and Operations Research
The vehicle routing problem
Solving a Practical Pickup and Delivery Problem
Transportation Science
Heuristics for the One-Commodity Pickup-and-Delivery Traveling Salesman Problem
Transportation Science
A Tabu Search Algorithm for a Routing and Container Loading Problem
Transportation Science
A Tabu search heuristic for the vehicle routing problem with two-dimensional loading constraints
Networks - Special Issue In Memory of Stefano Pallottino
An Exact Approach for the Vehicle Routing Problem with Two-Dimensional Loading Constraints
Transportation Science
INFORMS Journal on Computing
Mathematical Programming: Series A and B
A branch-and-cut algorithm for the pickup and delivery traveling salesman problem with LIFO loading
Networks - Networks Optimization Workshop, August 22–25, 2006
Multiple pickup and delivery TSP with LIFO and distance constraints: a VNS approach
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
Efficient algorithms for the double traveling salesman problem with multiple stacks
Computers and Operations Research
Bounded coloring of co-comparability graphs and the pickup and delivery tour combination problem
Theoretical Computer Science
The Traveling Salesman Problem with Draft Limits
Computers and Operations Research
The uncapacitated asymmetric traveling salesman problem with multiple stacks
ISCO'12 Proceedings of the Second international conference on Combinatorial Optimization
A Branch-and-Cut Algorithm for the Double Traveling Salesman Problem with Multiple Stacks
INFORMS Journal on Computing
The traveling purchaser problem, with multiple stacks and deliveries: A branch-and-cut approach
Computers and Operations Research
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The double traveling salesman problem with multiple stacks (DTSPMS) is a vehicle routing problem that consists on finding the minimum total length tours in two separated networks, one for pickups and one for deliveries. A set of orders is given, each one consisting of a pickup location and a delivery location, and it is required to send an item from the former location to the latter one. Repacking is not allowed, but collected items can be packed in several rows in such a way that each row must obey the LIFO principle. In this paper, a variable neighborhood search approach using four new neighborhood structures is presented to solve the problem.