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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Artificial Bee Colony Algorithm for Solving the Flight Disruption Problem
verfasst von : Tanja Šarčević, Ana Paula Rocha, Antonio J. M. Castro
Erschienen in: Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection
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Abstract
This paper presents the optimization algorithm Artificial Bee Colony (ABC) firstly introduced by in 2005 and proposed for optimizing numerical problems. ABC is the swarm-based meta-heuristic algorithm inspired by intelligent behavior of honey bee colonies. In this paper, ABC has been applied on solving the flight disruption problem, by swapping aircraft and/or cancelling/delaying flights, and its performance has been shown through experimentation. The environment and data for experiments are provided by MASDIMA, Multi-Agent System for DIsruption MAnagement developed by LIACC (Laboratory of Artificial Intelligence and Computer Science).