GENETIC ALGORITHM APPROACH TO OBSERVER'S OPTIMAL TRAJECTORY DESIGN

Denis Stepanov, Shalyto Anatoly A.

2012 , VOLUME 12, NUMBER 1 ( JANUARY-FEBRUARY )

ISSN 2226-1494 (print), ISSN 2500-0373 (online)

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Nikiforov
Vladimir O.
D.Sc., Prof.

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GENETIC ALGORITHM APPROACH TO OBSERVER'S OPTIMAL TRAJECTORY DESIGN

D. Stepanov, A. A. Shalyto

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Abstract

Modified genetic algorithm was offered as a tool for observer’s optimal trajectory generation in BOTMA (Bearing-Only Target Motion Analysis). Stochastic ascent and annealing simulation concepts were used for the purpose of arising genetic algorithms convergence and local extremum problems solution. For speeding-up the algorithm, we perform selection, combining schemata with higher fitness.

Keywords: genetic algorithms, stochastic ascent method, annealing simulation method, Holland’s Schema Theorem, Goldberg building blocks hypothesis, Hamming distance, BOTMA.

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