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PSO-extremum-optimization-algorithm
- 基于粒子群优化算法的非线性函数极值寻优,这里的适应度函数为Ackley函数，适应度值为函数值。根据初始粒子适应度值确定个体极限和群体极限。-Nonlinear function based on particle swarm optimization extremal optimization, where the fitness function for the Ackley function, the value of the fitness function value. Accordin
LSYHXY
- 量子遗传算法的函数寻优算法，以求取约束条件下的极值-Quantum genetic algorithm function optimization algorithm
PSO
- 老师做的一个课题，关于神经网络的，基于PSO的函数极值寻优-extremal optimization algorithms based on the function of PSO
-extreme-nonlinear-function
- 神经网络遗传算法函数极值寻优-非线性函数极值-Function neural network genetic algorithm optimization extreme- extreme nonlinear function
003-matlab-
- MATLAB智能算法30个案例分析源码，一元函数寻优，NIND=40 个体数目 MAXGEN=20 最大遗传代数 PRECI=20 变量的二进制位数 GGAP=0.95 代沟 px=0.7 交叉概率 pm=0.01 变异概率-Intelligent algorithm MATLAB source 30 case studies, one dollar function optimization, NIND = 40 the number of individuals MA
PSO
- 粒子群优化算法的寻优算法—非线性函数的极值优化-The optimum algorithm of particle swarm optimization algorithm, the extremal optimization of nonlinear functions
粒子群算法的寻优算法-非线性函数极值寻优
- 使用粒子群优化算法实现函数最优值的求解，并对参数进行优化。(The particle swarm optimization algorithm is used to solve the optimal value of the function, and the parameters are optimized.)
chapter2基于遗传算法和非线性规划的函数寻优算法
- 这是算法30案例的第二张源码，基于遗传算法和非线性规划的函数寻优算法(A function optimization algorithm based on genetic algorithm and nonlinear programming)