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Solving air traffic conflict problems via local continuous optimization

Listed author(s):
  • Peyronne, Clément
  • Conn, Andrew R.
  • Mongeau, Marcel
  • Delahaye, Daniel
Registered author(s):

    This paper first introduces an original trajectory model using B-splines and a new semi-infinite programming formulation of the separation constraint involved in air traffic conflict problems. A new continuous optimization formulation of the tactical conflict-resolution problem is then proposed. It involves very few optimization variables in that one needs only one optimization variable to determine each aircraft trajectory. Encouraging numerical experiments show that this approach is viable on realistic test problems. Not only does one not need to rely on the traditional, discretized, combinatorial optimization approaches to this problem, but, moreover, local continuous optimization methods, which require relatively fewer iterations and thereby fewer costly function evaluations, are shown to improve the performance of the overall global optimization of this non-convex problem.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0377221714007589
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    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 241 (2015)
    Issue (Month): 2 ()
    Pages: 502-512

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    Handle: RePEc:eee:ejores:v:241:y:2015:i:2:p:502-512
    DOI: 10.1016/j.ejor.2014.08.045
    Contact details of provider: Web page: http://www.elsevier.com/locate/eor

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    1. Nourelhouda Dougui & Daniel Delahaye & Stéphane Puechmorel & Marcel Mongeau, 2013. "A light-propagation model for aircraft trajectory planning," Journal of Global Optimization, Springer, vol. 56(3), pages 873-895, July.
    2. Stein, Oliver, 2012. "How to solve a semi-infinite optimization problem," European Journal of Operational Research, Elsevier, vol. 223(2), pages 312-320.
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