Adaptive differential evolution algorithm with modified mutation strategy and its application

作者：Tang Xiao Wei^*; Tang Jun; Wan Shuang; Tang Bo

来源：Journal of Astronautics, 2013, 34(7): 1001-1007.

DOI：10.3873/j.issn.1000-1328.2013.07.016

• Adaptive parameters
• Differential evolution algorithms
• Distributed apertures
• Mutation strategy
• Pattern synthesis
• Sidelobe levels

A modified mutation strategy-based adaptive differential evolution (MMADE) algorithm is proposed aiming at the defects of standard DE which is lack of robustness and hard to choose the control parameters. MMADE is characterized by two factors: a new mutation strategy which utilizes the best individual of a randomly selected subgroup instead of the entire group and a parameter adaptation strategy for adjusting the parameters automatically. Mutation factors and crossover probabilities are generated randomly among each generation according to Cauchy and Gaussian distributions whose parameters are updated recursively by the winners of previous generation. Numerical simulations conducted by MMADE for five classic Benchmarks indicate greatly improved reliability, global search capability and convergence speed and accuracy compared with standard DE. Lower sidelobe level can be obtained through fewer simulations by applying MMADE to the pattern synthesis of distributed aperture radar.

• 出版日期2013
• 单位清华大学