西安工程大学学报2016，Vol.30Issue(3)：393-399,7.DOI:10.13338/j.issn.1674-649x.2016.03.021
多目标优化问题的花授粉算法改进
An improvement of flower pollination algorithm in multi-objective optimization
摘要
Abstract
In order to overcome the deficiency in position during the process of iteration with flower pollination algorithm in multi-objective optimization (MOFPA),the idea of simulated annealing and Gaussian perturbations is used.An improved flower pollination algorithm in multi-objective optimization based on simulated annealing Gaussian disturbance(SGMOFPA)is proposed,and the simulation with MOFPA and MOPSO in four classical test functions is com-pared.The simulation experiments show that the proposed strategies can improve the conver-gence speed and the distribution uniformity of solutions is more effective.关键词
花授粉算法/模拟退火/高斯扰动/多目标优化Key words
flower pollination algorithm/simulated annealing/Gaussian perturbations/multi-objective optimization分类
信息技术与安全科学引用本文复制引用
张迷,贺兴时..多目标优化问题的花授粉算法改进[J].西安工程大学学报,2016,30(3):393-399,7.基金项目
陕西省自然科学基础研究计划项目(2014JM1006) （2014JM1006）
陕西省自然软科学研究计划项目(2014KRM2801) （2014KRM2801）
陕西省教育厅专项科研计划项目(14JK1282) （14JK1282）
