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- W2978348617 abstract "An improved adaptive genetic algorithm is proposed to solve the problem in which traditional genetic algorithm has deficiencies in global search and convergence speed.It modifies the adaptive technology by adopting the crossover and mutation operator adaptive adjusting with the number of iterations and fitness of populations.And the traditional selection operator based on roulette is replaced by new selection operator and improved elite reservation strategy to increase the probability of the global best answer and speed up the convergence rate.Through the experiments of optimization for common functions,the improved algorithm can enhance the number of elite and show the better global optimal ability and faster convergence ability.Based on this,the improved algorithm is applied in the array optimization of MIMO radar.Through the grid coding and using the bi-fitness function considering both sidelobe level and mainlobe width,the better synthetical performance of the array pattern for MIMO radar can be obtained,which will be more available in practice.Simulation results verify that the proposed algorithm is effective." @default.
- W2978348617 created "2019-10-10" @default.
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- W2978348617 date "2013-01-01" @default.
- W2978348617 modified "2023-09-28" @default.
- W2978348617 title "Array Optimization for MIMO Radar Based on Improved Adaptive Genetic Algorithm" @default.
- W2978348617 hasPublicationYear "2013" @default.
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