Using specialized agents in a distributed MAS to solve airline operations problems: a case study

• Type: Article in International Conference Proceedings Book
• Date: 2007

Authors

António J. M. Castro (Author) FEUP; Eugénio Oliveira (Author) FEUP

Conference proceedings International

Title: PROCEEDINGS OF THE IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON INTELLIGENT AGENT TECHNOLOGY (IAT 2007)

Pages: 473-476

IEEE/WIC/ACM International Conference on Intelligent Agent Technology and Web Intelligence

Fremont, CA, NOV 02-05, 2007

Indexing

ISI Proceedings

ISI Web of Knowledge - 4 Citations

Scopus - 1 Citation

INSPEC

Scientific classification

CORDIS: Physical sciences > Computer science > Cybernetics > Artificial intelligence

Other information

Authenticus ID: P-004-EDE

DOI: 10.1109/iat.2007.24

Abstract (EN): An airline schedule very rarely operates as planned. Problems related with aircrafts, crew members and passengers are common and the actions towards the solution of these problems are usually known as operations recovery. The Airline Operations Control Center (AOCC) tries to solve these problems with the minimum cost and satisfying all the required rules. In this paper we present the implementation of a Distributed Multi-Agent System (MAS) representing the existing roles in an AOCC. This MAS has several specialized software agents that implement different algorithms, competing to find the best solution for each problem. We present a real case study where a crew recovery problem is solved We show that it is possible to find valid solutions, in less time and with a smaller cost.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4