说明：  为解决数值优化问题而提出的,其执行过程是模拟杂草算法的繁殖过程。作为一种全新的数值优化算法,IWO算法具有成熟收敛性、较好的鲁棒性、适应性、易于理解和编程实现的特点 如：认知无线电频谱协作感知
(In order to solve problems and numerical optimization, the algorithm implementation is to simulate weeds reproductive process. As a new numerical optimization algorithms, IWO algorithm convergence mature, robust, adaptable, easy to understand and programming features Such as: cognitive radio spectrum sensing collaboration)