计算机工程与应用2011，Vol.47Issue(34)：235-237,3.DOI:10.3778/j.issn.1002-8331.2011.34.065
粒子群优化算法在函数均值求解中的应用研究
Application of particle swarm optimization on solving mean of function
摘要
Abstract
Aimed at the significance of the mean of function in engineering and theoretical analysis, Particle Swarm Algorithm (PSO) is used to solving the mean of function by adjusting the model of goal extremum and local extremum of it.Using all particles' present mean as goal mean and one particle's present mean as local mean,PSO can make particle move toward the mean of objective function, so it can find out the mean of function in a domain.The results of the numerical computation prove the method is effective, and it is used to compute definite integral.关键词
函数均值/定积分/粒子群优化算法/均值粒子群算法Key words
function mean/ definite integral/ Particle Swarm Optimization (PSO)/ mean particle swarm分类
信息技术与安全科学引用本文复制引用
莫愿斌,徐水华..粒子群优化算法在函数均值求解中的应用研究[J].计算机工程与应用,2011,47(34):235-237,3.基金项目
广西民族大学引进人才科研启动项目(No.200702YJ14) （No.200702YJ14）
广西民族大学数学与计算机科学学院科学研究项目. （）
