Abstract
In this paper, we study in detail the problem and its chance-constrained variant. Like, the chance-constrained problem is strongly -hard, and solving it exactly is out of reach, even for moderate realistic instances. An efficient heuristic is therefore proposed to deal with the whole problem by solving iteratively the chance-constrained problem separately for each flight level. The approach used to solve the latter problem consists in a constraint generation one which adds iteratively new constraints until reaching the probability threshold for the specific chance-constrained subproblem. An essential aspect of this method is the fast feasibility probability estimation of the chance-constrained constraints of a given solution. Numerical results support our findings.
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More From: IEEE Transactions on Intelligent Transportation Systems
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