【作者】 张翔； 李纲； 熊伟清；

【Author】 ZHANG Xiang,LI Gang,XIONG Weiqing Research Institute of Computer Science and Technology,NingBo University,Ningbo 315211,R.P.China

【机构】 宁波大学计算机科学与技术研究所；

【摘要】 系统评价是系统工程理论和实践研究中的热点和难点,修正矩阵的层次分析法(CAHP)是系统评价的主要方法之一,是高维多约束的非线性优化问题。本文在粒子群算法的基础上,设计了节点度不为0的WS型小世界网络作为粒子的邻居结构,引入自适应调整种群密度方法和边界修正策略。通过对某区域湖泊水资源可持续利用系统实例分析表明,计算结果稳定、精度高。更多还原

【Abstract】 Systematic evaluation is the hot and difficult of systems engineering theory and practice,of which,one of the main methods is to correct the CAHP of matrix,but some high-dimensional,multi-constrained nonlinear optimization problem will arise in the evaluation process.This research,based on particle swarm optimization algorithm,designs the WS small-world network with the node degree not equal 2 as a neighbor particle structure and adaptively adjusts the diversity of population density of population groups,as well introduces the boundary correction strategy.Through analyzing an example of the sustainable use of lake water resource system,the results are stable and with high precision.更多还原