MAGS - An Aco-based Model to Solve the Schedule Generation and Fleet Assignment Integrated Problem

Daniel J. Caetano; Nicolau D. F. Gualda

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

MAGS - An Aco-based Model to Solve the Schedule Generation and Fleet Assignment Integrated Problem

Topics: Hybrid Systems; Swarm/Collective Intelligence

In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 0IJCCI, 227-232, 2011 , Paris, France

Authors: Daniel J. Caetano and Nicolau D. F. Gualda

Affiliation: Universidade de São Paulo and Escola Politécnica, Brazil

Keyword(s): Air transportation, Schedule generation, Fleet assignment, Metaheuristic, Ant system.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Hybrid Systems ; Soft Computing ; Swarm/Collective Intelligence

Abstract: Schedule Generation and Fleet Assignment problems usually are solved separately. The integrated solution for both problems, although desirable, leads to large scale models of the NP-Hard class. This article presents a mathematical formulation of this integrated problem along with a new heuristical approach, called MAGS, based on the ACO metaheuristic. Both the exact solution and the one provided by MAGS are obtained and compared for the case of a Brazilian airline. The results have shown the applicability of MAGS to real world cases.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.144.189.177

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

J. Caetano, D. and D. F. Gualda, N. (2011). MAGS - An Aco-based Model to Solve the Schedule Generation and Fleet Assignment Integrated Problem. In Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - ECTA; ISBN 978-989-8425-83-6, SciTePress, pages 227-232. DOI: 10.5220/0003673502270232

@conference{ecta11,
author={Daniel {J. Caetano}. and Nicolau {D. F. Gualda}.},
title={MAGS - An Aco-based Model to Solve the Schedule Generation and Fleet Assignment Integrated Problem},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - ECTA},
year={2011},
pages={227-232},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003673502270232},
isbn={978-989-8425-83-6},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - ECTA
TI - MAGS - An Aco-based Model to Solve the Schedule Generation and Fleet Assignment Integrated Problem
SN - 978-989-8425-83-6
AU - J. Caetano, D.
AU - D. F. Gualda, N.
PY - 2011
SP - 227
EP - 232
DO - 10.5220/0003673502270232
PB - SciTePress