一种改进的CCIWO算法及在搜索纳什平衡点的应用  

An Improved CCIWO Algorithm and Its Application in Search of the Nash Equilibrium

作　　者：朱元凯[1] 陈亮[1] 

机构地区：[1]泰山职业技术学院,山东泰安271000

出　　处：《广东石油化工学院学报》2015年第3期43-46,共4页Journal of Guangdong University of Petrochemical Technology

摘　　要：杂草算法(IWO)是一种元启发式算法,模拟杂草定植和分布的过程,能够解决多维、线性和效率优化问题以及非线性优化问题。文章改进了IWO算法,并将其应用到电子市场优化中,通过查找市场存在的纳什平衡点,来对市场存在的最优方案进行查找。实验证明,该方法有效且精确度高。Invasive Weed Optimization （IWO ）is a meta heuristic algorithm ,which can simulate the engraftment and distribution process of weeds .IWO can solve multidimensional ,linear problems ,and efficiency optimization ,nonlinear optimization problems .This article aims at improving the algorithm of IWO ,and its application to electricity market .By looking for Nash equilibrium （NE） in the electricity market , it finds the optimal solution to electricity market problems .The experiment proves that this method is effective and of high accuracy .

关 键 词：杂草算法 优化 纳什平衡 电力 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]