Artificial Bee Colony algorithm for solving the flight disruption problem

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).