Multiobjectective environmental departure procedure optimization

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dc.contributor.author McEnteggart, Quintain
dc.contributor.author Whidborne, James F.
dc.date.accessioned 2018-04-24T10:19:30Z
dc.date.available 2018-04-24T10:19:30Z
dc.date.issued 2018-04-06
dc.identifier.citation McEnteggart Q, Whidborne JF, Multiobjective environmental departure procedure optimization, Journal of Aircraft, Vol. 55, Issue 3, 2018, pp. 905-917 en_UK
dc.identifier.issn 0021-8669
dc.identifier.uri http://dx.doi.org/10.2514/1.C033132
dc.identifier.uri https://dspace.lib.cranfield.ac.uk/handle/1826/13164
dc.description.abstract To achieve a sustainable future for air transport, the International Civil Aviation Organization has proposed goals for reductions in community noise impact, local air quality, and climate-impacting emissions. The paper focuses on the contribution aircraft operations make to those goals. It describes a multiobjective optimization methodology intended to support the planning of environmentally efficient departure procedures. The methodology treats the problem as a multiobjective optimal control problem that is solved through the application of a direct method of trajectory optimization and a multiobjective version of the differential evolution algorithm. The method generates Pareto fronts between several competing objectives, allowing the decision maker to make informed decisions about potential tradeoffs between different environmental goals. The methodology is demonstrated through its application to a real-world many-objective procedure optimization study. The method supports in-depth analysis of the problem not achievable through existing methods and is used to identify a solution set that offers improvements in all environmental objectives relative to the existing procedure design. en_UK
dc.language.iso en en_UK
dc.publisher AIAA en_UK
dc.rights Attribution-NonCommercial 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/ *
dc.title Multiobjectective environmental departure procedure optimization en_UK
dc.type Article en_UK


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