基于拉普拉斯交叉算子的遗传匹配追踪

Genetic Matching Pursuit Algorithm Based on Laplace Crossover

遗传匹配追踪算法可提高寻找最佳原子速度,但交叉算子降低收敛性,使算法的搜索速度降低。采用拉普拉斯交叉算子改进算法,将父代的拉普拉斯分布的密度函数系数引入算术交叉算子来实现父代控制子代的产生。仿真实验结果表明,这种改进的遗传匹配算法,从残差能量和搜索时间两方面的改进是有效的。

Genetic Matching Pursuit Algorithm can raise the speed of finding the best atom,but the speed of the algorithm is low because of the crossover reducing the convergence.The algorithm is improved by the Laplace Crossover in which the parent of the Laplace distribution density function coefficients replace the arithmetic crossover operator coefficients,through the parent control of offspring production.Simulation results show that the improved genetic matching algorithms is effect from the residual energy and searching time.