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www.eeworm.com/read/364434/2905247
svn-base optimization.txt.svn-base
optimization Tips (for libavcodec):
===================================
What to optimize:
-----------------
If you plan to do non-x86 architecture specific optimizations (SIMD normally),
then take a
www.eeworm.com/read/237677/13938883
pdf intro to optimization webinar.pdf
www.eeworm.com/read/392058/8365613
ppt ant_colony_optimization_1.ppt
www.eeworm.com/read/390983/8429938
pdf ！！！必看particle swarm optimization.pdf
www.eeworm.com/read/390982/8429977
pdf ！！！particle swarm optimization --- an overview.pdf
www.eeworm.com/read/291149/8439761
ppt chapter 10 query optimization.ppt
www.eeworm.com/read/291149/8439770
ppt chapter 7 query optimization.ppt
www.eeworm.com/read/390062/8487676
m particle_swarm_optimization1.m
clear
%初始化
Alpha=0.85; %个体经验保留概率
Beta=0.85; %全局经验保留概率
NC_max=200; %最大迭代次数
m=30; %微粒数
CityNum=30; %问题的规模（城市个数）
[dislist,Clist]=tsp(CityNum);
NC=1;%迭代计数器
R_best=zeros(NC_max,CityNum); %各
www.eeworm.com/read/432944/8561005
pdf synthesis and optimization of dsp algorithms.pdf
www.eeworm.com/read/287873/8663751
m particle_swarm_optimization1.m
clear
%初始化
Alpha=0.85; %个体经验保留概率
Beta=0.85; %全局经验保留概率
NC_max=200; %最大迭代次数
m=30; %微粒数
CityNum=30; %问题的规模（城市个数）
[dislist,Clist]=tsp(CityNum);
NC=1;%迭代计数器
R_best=zeros(NC_max,CityNum); %各