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A Multi-stage Target Assignment Method Based on Improved Genetic Algorithm

  • Tianyan Zhou,
  • Ruoming An,
  • Changsheng Gao,
  • Yuqing Li

摘要

Aiming at the different importance of target assignment tasks in each stage of multi-stage air attack operations, an improved genetic algorithm is designed. The decimal one-dimensional multi-segment chromosome is used to represent the multi-stage target assignment scheme. By setting the differential crossover and mutation probability for each segment of the chromosome, the opportunity to find the optimal assignment scheme in the operation stage with higher assignment quality requirements is improved. At the same time, the oscillation of the assignment scheme in the secondary operation stage with lower assignment quality requirements is reduced, and the performance of the target assignment algorithm is effectively improved. Finally, the simulation example shows that the improved genetic algorithm can better solve the problem of target assignment in multi-stage air strike operations.