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ORCIDAntónio J. M. Castro
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- affiliation: University of Porto, Portugal
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2020 – today
- 2021
[c15]Luis N. Martins, Ana Paula Rocha, António J. M. Castro:
A QUBO Model to the Tail Assignment Problem. ICAART (2) 2021: 899-906
2010 – 2019
- 2018
- [c14]Luís Paulo Reis, Ana Paula Rocha, António J. M. Castro:
An Agent-based Electronic Market to Help Airlines to Recover from Delays. ICAART (1) 2018: 176-183 - [c13]Luís Reis, Ana Paula C. Rocha
, António J. M. Castro:
An Electronic Marketplace for Airlines. PAAMS (Workshops) 2018: 60-71 - [c12]Tanja Sarcevic, Ana Paula C. Rocha, António J. M. Castro:
Artificial Bee Colony Algorithm for Solving the Flight Disruption Problem. PAAMS (Workshops) 2018: 72-81 - [e1]Javier Bajo, Juan M. Corchado, Elena Maria Navarro Martínez, Eneko Osaba Icedo, Philippe Mathieu, Patrycja Hoffa-Dabrowska, Elena del Val, Sylvain Giroux, António J. M. Castro, Nayat Sánchez Pi, Vicente Julián, Ricardo Azambuja Silveira, Alberto Fernández, Rainer Unland, Rubén Fuentes-Fernández:
Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection - International Workshops of PAAMS 2018, Toledo, Spain, June 20-22, 2018, Proceedings. Communications in Computer and Information Science 887, Springer 2018, ISBN 978-3-319-94778-5 [contents] - 2017
- [c11]Jorge Lima, Ana Paula Rocha, António J. M. Castro:
Argumentation in the Re-accommodation of Airline Passengers Using Mobile Devices. PAAMS (Workshops) 2017: 16-27 - [c10]António J. M. Castro, Ana Paula Rocha:
Managing Disruptions with a Multi-Agent System for Airline Operations Control. PAAMS 2017: 307-310 - 2014
- [b1]António J. M. Castro, Ana Paula Rocha, Eugénio C. Oliveira:
A New Approach for Disruption Management in Airline Operations Control. Studies in Computational Intelligence 562, Springer 2014, ISBN 978-3-662-43372-0, pp. 1-204 - [j2]António J. M. Castro, Ana Paula Rocha, Eugénio C. Oliveira:
A new approach for disruption management in airline operations control. AI Matters 1(1): 15-16 (2014) - 2012
- [c9]António J. M. Castro, Ana Paula Rocha, Eugénio C. Oliveira:
Towards an autonomous and intelligent Airline Operations Control. ITSC 2012: 1429-1434 - 2011
- [c8]Bruno Aguiar, José Torres, António J. M. Castro:
Operational Problems Recovery in Airlines - A Specialized Methodologies Approach. EPIA 2011: 83-97
2000 – 2009
- 2009
- [c7]António Mota, António J. M. Castro, Luís Paulo Reis:
Recovering from Airline Operational Problems with a Multi-Agent System: A Case Study. EPIA 2009: 461-472 - [c6]António J. M. Castro, Eugénio C. Oliveira:
Using Quality Costs in a Multi-agent System for an Airline Operations Control. ICEIS (2) 2009: 19-24 - [c5]António J. M. Castro, Eugénio C. Oliveira:
A Multi-Agent System for Airline Operations Control. PAAMS 2009: 159-168 - 2008
- [j1]António J. M. Castro, Eugénio C. Oliveira:
The rationale behind the development of an airline operations control centre using Gaia-based methodology. Int. J. Agent Oriented Softw. Eng. 2(3): 350-377 (2008) - 2007
- [c4]António J. M. Castro, Eugénio C. Oliveira:
Using Specialized Agents in a Distributed MAS to Solve Airline Operations Problems: A Case Study. IAT 2007: 473-476 - [c3]António J. M. Castro, Eugénio C. Oliveira:
A Distributed Multi-Agent System to Solve Airline Operations Problems. ICEIS (2) 2007: 22-30 - [c2]António J. M. Castro, Eugénio C. Oliveira:
Solving Airline Operations Problems Using Specialized Agents in a Distributed Multi-Agent System. ICEIS (Selected Papers) 2007: 173-184 - 2005
- [c1]António J. M. Castro, Eugénio C. Oliveira:
A Multi-agent System for Intelligent Monotoring of Airline Operations. EUMAS 2005: 91-102
Coauthor Index
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