GENETIC ALGORITHM APPROACH TO OBSERVER'S OPTIMAL TRAJECTORY DESIGN
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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.