NDLI: Preference-Based Evolutionary Algorithm for Airport Runway Scheduling and Ground Movement Optimisation

Content Provider	IEEE Xplore Digital Library
Author	Weiszer, M. Jun Chen Stewart, P.
Copyright Year	2015
Description	Author affiliation: Inst. for Innovation in Sustainable Eng., Derby, UK (Stewart, P.) \|\| Sch. of Eng., Univ. of Lincoln, Lincoln, UK (Weiszer, M.; Jun Chen)
Abstract	As airports all over the world are becoming more congested together with stricter environmental regulations put in place, research on optimisation of airport surface operations started to consider both time and fuel related objectives. However, as both time and fuel can have a monetary cost associated with them, this information can be utilised as preference during the optimisation to guide the search process to a region with the most cost efficient solutions. In this paper, we solve the integrated optimisation problem combining runway scheduling and ground movement problem by using a multi-objective evolutionary framework. The proposed evolutionary algorithm is based on modified crowding distance and outranking relation which considers cost of delay and price of fuel. Moreover, the preferences are expressed in a such way, that they define a certain range in prices reflecting uncertainty. The preliminary results of computational experiments with data from a major airport show the efficiency of the proposed approach.
Starting Page	2078
Ending Page	2083
File Size	217072
Page Count	6
File Format	PDF
ISSN	21530017
e-ISBN	9781467365963
DOI	10.1109/ITSC.2015.336
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-15
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Aircraft Fuels Optimization Airports Delays Public transportation Scheduling
Content Type	Text
Resource Type	Article

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