Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/5353
Author(s): António J. M. Castro
Eugénio Oliveira
Title: Using specialized agents in a distributed MAS to solve airline operations problems: a case study
Issue Date: 2007
Abstract: 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.
Subject: Inteligência artificial
Artificial intelligence
URI: https://repositorio-aberto.up.pt/handle/10216/5353
Source: PROCEEDINGS OF THE IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON INTELLIGENT AGENT TECHNOLOGY (IAT 2007)
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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