24th Congress of International Council of the Aeronautical Sciences, 29 August-3, September 2004, Yokohama, Japan
Paper ICAS 2004-4.7.4 (St.)

COMPARISON AND IMPROVEMENT OF METHODS TO SOLVING THE PROBLEM OF OPTIMAL FLIGHT ROUTING

L. A. Mirzoyan
Moscow Aviation Institute (state technical university), Russian Federation

Keywords: routing, neural networks, genetic algorithm, risk function, Halton method

The review, analysis and comparison of some approaches to solving a problem of aircraft flight routing were carried out. The new methods of the problem solving based on improving of existing methods are offered. The problem is solved by an example of horizontal flight routing. The minimum of aircraft range was considered as a main optimization criterion of the routing.

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