Journal ArticleDOI
Static pickup and delivery problems: a classification scheme and survey
TLDR
A general framework to model a large collection of pickup and delivery problems, as well as a three-field classification scheme for these problems, is introduced.Abstract:
Pickup and delivery problems constitute an important class of vehicle routing problems in which objects or people have to be collected and distributed. This paper introduces a general framework to model a large collection of pickup and delivery problems, as well as a three-field classification scheme for these problems. It surveys the methods used for solving them.read more
Citations
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Book ChapterDOI
Reinforcement Learning for the Pickup and Delivery Problem
TL;DR: In this article , a reinforcement learning (RL) model based on the advantage actor-critic, which regards pickup and delivery problem (PDP) as a sequential decision problem, is proposed.
Proceedings ArticleDOI
Online Operation of Bike Sharing System: An Approximate Dynamic Programming Approach
Journal ArticleDOI
A New Mathematical Model for Multi Product Location-Allocation Problem with Considering the Routes of Vehicles
TL;DR: In this paper, a new mathematical model for locating and allocating in transportation system in which each production center can produces multi type of products is presented, and the objective is to minimize the total costs in the production and transportation systems such as: fixed cost of opening the production centers, total production cost and total transportation cost that are entered to system by vehicles.
References
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Book
Computers and Intractability: A Guide to the Theory of NP-Completeness
TL;DR: The second edition of a quarterly column as discussed by the authors provides a continuing update to the list of problems (NP-complete and harder) presented by M. R. Garey and myself in our book "Computers and Intractability: A Guide to the Theory of NP-Completeness,” W. H. Freeman & Co., San Francisco, 1979.
Journal ArticleDOI
Self-organized formation of topologically correct feature maps
TL;DR: In this paper, the authors describe a self-organizing system in which the signal representations are automatically mapped onto a set of output responses in such a way that the responses acquire the same topological order as that of the primary events.