Abstract:

A hybrid fuzzy logic guided intelligent algorithm based on stochastic simulation is presented. A genetic algorithm based on stochastic simulation is adopted to solve the scheduling problem of electronic reconnaissance satellites, so as to avoid transforming problems and complex mathematical ratiocination. Aiming at the deficiency that some parameters, such as crossover rate and mutation rate, are set based on the experience and are invariable in the process of evolution, a method based on the fuzzy logic is adopted to adjust the key parameters of the genetic algorithm dynamically, which can increase the diversity of genes and avoid premature convergence, and get better optimization results