基于Mathematica 的遗传算法程序优化设计对称阵子天线。-A genetic optimization algorithm program based on Mathematicadesign is designed to calculate dipole antenna.

修正量子粒子群算法在收敛精度、速度、避开局部最优解等方面优于粒子群算法、遗传算法。-Fixed quantum particle swarm algorithm is superior to particle swarm optimization, genetic algorithm convergence precision, speed, avoid local optimal solution and so on.

这是一个有效避免遗传算法早熟问题的函数优化方法，通过移民算子联系个种群，实现各种群的协同进化-This is an effective way to avoid the problem of premature genetic algorithm function optimization method, the sub-contact populations through migration operator, to achieve a variety of co-evolution gro

改进的粒子群优化克里金模型，普通的克里金模型MATLAB数据包与遗传算法的结合(Improved particle swarm optimization model of Kriging, Kriging model MATLAB data packet and genetic algorithm combined with the general of the)