Decomposition approach to solve dial-a-ride problems using ant Computing and Constraint Programming

Broderick Crawford; Carlos Castro; Eric Monfroy; Claudio Cubillos

doi:10.1007/978-3-540-75555-5_43

Decomposition approach to solve dial-a-ride problems using ant Computing and Constraint Programming

Broderick Crawford, Carlos Castro, Eric Monfroy, Claudio Cubillos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

In this paper we solve the Dial-A-Ride Problem (DARP). The main objective of the DARP is to minimize operation costs for renting pieces of work from the transportation service providers. The resolution approach considered in this work, starting from a network formulation of the DARP, decomposes the problem in two phases: Clustering and Chaining. We model both phases like a Set Partitioning Problem (SPP) and solve them with an interesting sinergy between two different optimization methods: Ant Computing and Constraint Programming.

Original language	English
Title of host publication	Advances in Brain, Vision, and Artificial Intelligence - Second International Symposium, BVAI 2007, Proceedings
Pages	448-457
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-540-75555-5_43
State	Published - 2007
Externally published	Yes
Event	2nd International Symposium on Brain, Vision, and Artificial Intelligence, BVAI 2007 - Naples, Italy Duration: 10 Oct 2007 → 12 Oct 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4729 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Symposium on Brain, Vision, and Artificial Intelligence, BVAI 2007
Country/Territory	Italy
City	Naples
Period	10/10/07 → 12/10/07

Keywords

Ant colony optimization
Constraint programming
Dial-a-ride problem

Access to Document

10.1007/978-3-540-75555-5_43

Cite this

Crawford, B., Castro, C., Monfroy, E., & Cubillos, C. (2007). Decomposition approach to solve dial-a-ride problems using ant Computing and Constraint Programming. In Advances in Brain, Vision, and Artificial Intelligence - Second International Symposium, BVAI 2007, Proceedings (pp. 448-457). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4729 LNCS). https://doi.org/10.1007/978-3-540-75555-5_43

Crawford, Broderick ; Castro, Carlos ; Monfroy, Eric et al. / Decomposition approach to solve dial-a-ride problems using ant Computing and Constraint Programming. Advances in Brain, Vision, and Artificial Intelligence - Second International Symposium, BVAI 2007, Proceedings. 2007. pp. 448-457 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In this paper we solve the Dial-A-Ride Problem (DARP). The main objective of the DARP is to minimize operation costs for renting pieces of work from the transportation service providers. The resolution approach considered in this work, starting from a network formulation of the DARP, decomposes the problem in two phases: Clustering and Chaining. We model both phases like a Set Partitioning Problem (SPP) and solve them with an interesting sinergy between two different optimization methods: Ant Computing and Constraint Programming.",

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Crawford, B, Castro, C, Monfroy, E & Cubillos, C 2007, Decomposition approach to solve dial-a-ride problems using ant Computing and Constraint Programming. in Advances in Brain, Vision, and Artificial Intelligence - Second International Symposium, BVAI 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4729 LNCS, pp. 448-457, 2nd International Symposium on Brain, Vision, and Artificial Intelligence, BVAI 2007, Naples, Italy, 10/10/07. https://doi.org/10.1007/978-3-540-75555-5_43

Decomposition approach to solve dial-a-ride problems using ant Computing and Constraint Programming. / Crawford, Broderick; Castro, Carlos; Monfroy, Eric et al.

Advances in Brain, Vision, and Artificial Intelligence - Second International Symposium, BVAI 2007, Proceedings. 2007. p. 448-457 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4729 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Crawford B, Castro C, Monfroy E, Cubillos C. Decomposition approach to solve dial-a-ride problems using ant Computing and Constraint Programming. In Advances in Brain, Vision, and Artificial Intelligence - Second International Symposium, BVAI 2007, Proceedings. 2007. p. 448-457. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-75555-5_43

Decomposition approach to solve dial-a-ride problems using ant Computing and Constraint Programming

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