相似文献/References:
[1]张爱华 江中勤 张华.基于粒子群优化算法的分形图像压缩编码[J].计算机技术与发展,2010,(02):21.
ZHANG Ai-hua,JIANG Zhong-qin,ZHANG Hua.Fractal Image Compression Coding Based on PSO[J].,2010,(05):21.
[2]唐俊.PSO算法原理及应用[J].计算机技术与发展,2010,(02):213.
TANG Jun.Principle and Application of PSO Algorithm[J].,2010,(05):213.
[3]张捍东 廖天红 岑豫皖.用模拟退火思想的粒子群算法实现图像分割[J].计算机技术与发展,2010,(05):83.
ZHANG Han-dong,LIAO Tian-hong,CEN Yu-wan.Image Segmentation Through Particle Swarm Optimization Based on Simulated Annealing[J].,2010,(05):83.
[4]廖锋 高兴宝.差分演化算法在约束优化问题中的应用[J].计算机技术与发展,2010,(05):187.
LIAO Feng,GAO Xing-bao.Application of Differential Evolution Algorithms on Constraint Optimization Problems[J].,2010,(05):187.
[5]来磊 卢文科 邓开连.基于二维Tsallis交叉熵直线型图像阈值分割方法[J].计算机技术与发展,2010,(06):105.
LAI Lei,LU Wen-ke,DENG Kai-lian.New Image Thresholding Segmentation Methods Based on Two-Dimensional Tsallis Cross-Entropy Liner-Type[J].,2010,(05):105.
[6]邹毅 朱晓萍 王秀平.一种基于混沌优化的混合粒子群算法[J].计算机技术与发展,2009,(11):18.
ZOU Yi,ZHU Xiao-ping,WANG Xiu-ping.A Hybrid PSO Algorithm Based on Chaos Optimization[J].,2009,(05):18.
[7]王为为 程家兴 贺晟.基于佳点集交叉的粒子群算法[J].计算机技术与发展,2009,(12):32.
WANG Wei-wei,CHENG Jia-xing,HE Sheng.Particle Swarm Algorithm Based on Good Point Set Crossover[J].,2009,(05):32.
[8]贾瑞玉 黄义堂 邢猛.一种动态改变权值的简化粒子群算法[J].计算机技术与发展,2009,(02):137.
JIA Rui-yu,HUANG Yi-tang,XING Meng.A Modified Simple Particle Swarm Optimization Using Dynamically Decreasing Inertia Weight[J].,2009,(05):137.
[9]卢珊萍 于盛林.基于粒子群算法的细胞神经网络模板参数设计[J].计算机技术与发展,2009,(04):83.
LU Shan-ping,YU Sheng-lin.A Template Design Method for Cellular Neural Network Based on Particle Swarm Optimizer Algorithm[J].,2009,(05):83.
[10]王艳玲 李龙澍 胡哲.群体智能优化算法[J].计算机技术与发展,2008,(08):114.
WANG Yan-ling,LI Long-shu,HU Zhe.Swarm Intelligence Optimization Algorithm[J].,2008,(05):114.
[11]杨思燕[],陈为胜[]. 基于数据同化的图像融合方法研究[J].计算机技术与发展,2014,24(11):69.
YANG Si-yan[],CHEN Wei-sheng[]. Research on Image Fusion Method Based on Data Assimilation[J].,2014,24(05):69.
[12]李锋. 粒子群模糊聚类算法在入侵检测中的研究[J].计算机技术与发展,2014,24(12):138.
LI Feng. Research on Fuzzy Clustering Algorithm Based on PSO in IDS[J].,2014,24(05):138.
[13]刘慧慧. 一种改进的粒子群多目标优化算法研究[J].计算机技术与发展,2015,25(01):87.
LIU Hui-hui. Research on an Improved Multi-objective Optimization Algorithm of Particle Swarm[J].,2015,25(05):87.
[14]侯翔,廖小平. 基于PSO算法的洪水预报模型研究[J].计算机技术与发展,2015,25(04):200.
HOU Xiang,LIAO Xiao-ping. Research on Flood Forecasting Model Based on PSO[J].,2015,25(05):200.
[15]胡天骐[],单剑锋[],宋晓涛[]. 基于改进PSO-LSSVM的模拟电路诊断方法[J].计算机技术与发展,2015,25(06):193.
HU Tian-qi[],SHAN Jian-feng[],SONG Xiao-tao[]. Analog Circuit Fault Diagnosis Method Based on PSO-LSSVM[J].,2015,25(05):193.
[16]胡存刚,程莹. 基于粒子群算法的大数据智能搜索引擎的研究[J].计算机技术与发展,2015,25(12):14.
HU Cun-gang,CHENG Ying. Research on Big Data Intelligent Search Engine Based on PSO[J].,2015,25(05):14.
[17]刘春燕[],杨巍巍[]. 云计算基于遗传粒子群算法的多目标任务调度[J].计算机技术与发展,2017,27(02):56.
LIU Chun-yan[],YANG Wei-wei[]. A Multi-objective Task Scheduling Based on Genetic and Particle Swarm Optimization Algorithm for Cloud Computing[J].,2017,27(05):56.
[18]李策,王保云,高浩. 基于自适应粒子群算法的特征选择[J].计算机技术与发展,2017,27(04):89.
LI Ce,WANG Bao-yun,GAO Hao. Feature Selection Based on Adaptive Particle Swarm Optimization[J].,2017,27(05):89.
[19]邱东,刘明硕,郭红涛. 基于粒子群算法的低碳铬铁磷含量预测研究[J].计算机技术与发展,2017,27(06):142.
QIU Dong,LIU Ming-shuo,GUO Hong-tao. Investigation on Prediction of Phosphorus Content of Low Carbon Ferrochrome with Particle Swarm Optimization[J].,2017,27(05):142.
[20]梅朵[],郑黎黎[],刘春晓[],等. 基于混合算法优化SVM的短时交通流预测[J].计算机技术与发展,2017,27(11):92.
MEI Duo[],ZHENG Li-li[],LIU Chun-xiao[],et al. A Short-term Traffic Flow Prediction Model Based on Support Vector Machine Optimized by Hybrid Algorithm[J].,2017,27(05):92.