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

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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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