NormFitGA 用动态线性标定适应值的遗传算法求解一维无约束优化问题 -NormFitGA dynamic linear calibration to adapt to the value of the genetic algorithm for solving one-dimensional unconstrained optimization problems

对应书籍为《复杂非线性系统自适应动态优化》课本第六章例子的程序，讲述单网络的自适应动态优化-Corresponding books as " complex adaptive dynamic optimization of nonlinear systems" textbook example of Chapter VI of the program, about a single network adaptive dynamic optimization

基于扩展粒子群算法的群机器人多目标搜索，引入动态闭环任务分工，能够并行搜索，提高搜索效率。-Particle swarm optimization algorithm based on extended multi-target search robot group, introducing dynamic closed-loop division of tasks in parallel searches, improve search efficiency.

基于动态粒子群算法的环境寻优算法源码及相关例程-Dynamic particle swarm optimization algorithm source environment and related routines