Citation
A Beam Search approach for the optimization version of the Car Sequencing Problem. Annals of Operations Research, 159 (1): 233-244, 2008.
Selected
Abstract
The Car Sequencing Problem (CSP) is a feasibility problem that has attracted the attention of the Constraint Programming community for a number of years now. In this paper, a new version (opt-CSP) that extends the original problem is defined, converting this into an optimization problem in which the goal is to satisfy the typical hard constraints. This paper presents a solution procedure for opt-CSP using Beam Search. Computational results are presented using public instances that verify the goodness of the procedure and demonstrate its excellent performance in obtaining feasible solutions for the majority of instances while satisfying the new constraints.
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Bibtex
@ARTICLE{2008-233-244-SI, author = {J. Bautista and J. Pereira and B. Adenso-Díaz},
title = {A Beam Search approach for the optimization version of the Car Sequencing Problem},
journal = {Annals of Operations Research},
year = {2008},
volume = {159},
pages = {233--244},
number = {1},
note = {Selected},
abstract = {The Car Sequencing Problem (CSP) is a feasibility problem that has attracted the attention of the Constraint Programming community for a number of years now. In this paper, a new version (opt-CSP) that extends the original problem is defined, converting this into an optimization problem in which the goal is to satisfy the typical hard constraints. This paper presents a solution procedure for opt-CSP using Beam Search. Computational results are presented using public instances that verify the goodness of the procedure and demonstrate its excellent performance in obtaining feasible solutions for the majority of instances while satisfying the new constraints.},
doi = {10.1007/s10479-007-0278-x},
owner = {user},
timestamp = {2012.05.25} }