Artificial Intelligence - Special issue on knowledge representation
Deciding Linear Inequalities by Computing Loop Residues
Journal of the ACM (JACM)
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Using Constraint Programming and Local Search Methods to Solve Vehicle Routing Problems
CP '98 Proceedings of the 4th International Conference on Principles and Practice of Constraint Programming
A general heuristic for vehicle routing problems
Computers and Operations Research
Survey: Quality of service in dial-a-ride operations
Computers and Industrial Engineering
Variable neighborhood search for the dial-a-ride problem
Computers and Operations Research
Checking the Feasibility of Dial-a-Ride Instances Using Constraint Programming
Transportation Science
Large neighborhood search for dial-a-ride problems
CP'11 Proceedings of the 17th international conference on Principles and practice of constraint programming
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The Dial---A---Ride Problem (DARP) consists in defining a set of routes that satisfy transportation requests between a set of pickup points and a set of delivery points. This paper addresses a variant of the DARP where requests can change of vehicle during their trip. This transshipment is made on specific locations called "transfer points". The corresponding problem is called the Dial---A---Ride Problem with Transfers (DARPT). Solving the DARPT yields modeling and algorithmic difficulties. In this paper, we focus on efficiently checking the feasibility of routes with regards to the problem temporal constraints in a Large Neighborhood Search. This feasibility problem is a Simple Temporal Problem, well studied in particular in Artificial Intelligence [8]. We propose necessary and sufficient conditions to fasten the detection of unfeasible or feasible routes.