Latest revision as of 08:41, 29 September 2020

Abstract

We present two heuristics based on constraint technology that solve the problem of generating air traffic management contingency plans, which are used in the case of a catastrophic infrastructure failure within EUROCONTROL, the European Organisation for the Safety of Air Navigation. Of the heuristics presented, one is based on constraint-based local search and tabu search, and the other one is a constraint programming and large neighbourhood search hybrid algorithm. The heuristics show that it is feasible to automate the development of contingency plans, which is currently done by human experts; this is desirable for several reasons, for example it would allow the contingency plans to be generated with an increased frequency. The generated plans were evaluated, by EUROCONTROL, to be at least as good as the human-made ones.

Document type: Part of book or chapter of book

Full document

Original document

The different versions of the original document can be found in:

• http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-129470

• http://www.it.uu.se/research/group/astra/publications/CP10.pdf

• http://www.springerlink.com/index/pdf/10.1007/978-3-642-15396-9_50,http://dx.doi.org/10.1007/978-3-642-15396-9_50

• https://core.ac.uk/display/21242380,http://www.diva-portal.org/smash/record.jsf?pid=diva2:343929,https://link.springer.com/chapter/10.1007%2F978-3-642-15396-9_50,http://www.it.uu.se/research/group/astra/publications/CP10.pdf,http://uu.diva-portal.org/smash/get/diva2:343929/FULLTEXT01.pdf,http://uu.diva-portal.org/smash/record.jsf?pid=diva2:343929,https://dl.acm.org/citation.cfm?id=1886062,https://academic.microsoft.com/#/detail/2155690818