The effect of symmetry in representation on scenario-based risk assessment for air-traffic conflict resolution strategies.

Author

Alam, S. ; Tang, J. ; Abbass, H.A. ; Lokan, C.J.

Author_Institution

Sch. of ITEE, Univ. of New South Wales at the Australian Defence Force Acad., Canberra, ACT

fYear

2009

Firstpage

2180

Lastpage

2187

Abstract

Evaluating conflict resolution algorithms in the air-traffic domain is a challenging task. These algorithms are usually tested using a pair of aircraft or a limited number of geometries involving multiple aircraft. Our previous work demonstrated the use of evolutionary computation for risk assessment of air-traffic conflict detection algorithms using a red-teaming (or playing the devil) approach. This paper extends our previous work to conflict resolution and investigate the effect of symmetry in the representation on the performance of the evolutionary operators.

Keywords

aerospace computing; air traffic; aircraft; evolutionary computation; risk analysis; air-traffic conflict detection algorithm; air-traffic conflict resolution; aircraft; evolutionary computation; red-teaming approach; scenario-based risk assessment; Air traffic control; Aircraft; Biological cells; Costs; Detection algorithms; Evolutionary computation; Genetic algorithms; Risk management; Technology management; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2009. CEC '09. IEEE Congress on

Conference_Location

Trondheim

Print_ISBN

978-1-4244-2958-5

Electronic_ISBN

978-1-4244-2959-2

Type

conf

DOI

10.1109/CEC.2009.4983211

Filename

4983211