代码搜索：如何学习 Best？
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www.eeworm.com/read/192735/8289309
m rsptrainmodsel.m
function [alpha_fin,b_fin,nufin] = rsptrainmodsel(K,Y,T,S_min),
% Recursive Stabilization Procedure
%% Variable Description
%%
%%
m = size(K,1);
k = ceil(log(m/S_min)/log(T/(T-1)));
current_position
www.eeworm.com/read/415995/11045739
asv initial.asv
%程序初始化
gen=50; %设置进化代数
popsize=50; %设置种群规模大小
best_in_history(gen)=inf; %初始化全局历史最优解
best_in_history(:)=inf; %初始化全局历史最优解
max_velocity=0.5;
%popnum=1; %设置种群数量
pop(popsize,8)=
www.eeworm.com/read/415995/11045755
asv outputdata.asv
%实时输出结果
%输出当前种群中粒子位置
subplot(1,2,1);
for i=1:popsize
plot(pop(i,1),pop(i,2),'b*');
hold on;
end
plot(gbest_x,gbest_y,'r.','markersize',20);axis([-2,2,-2,2]);
hold off;
subplot(1
www.eeworm.com/read/413870/11138715
asm hpel_8x8_16.asm
/*******************************************************************************
Copyright(c) 2000 - 2002 Analog Devices. All Rights Reserved.
Developed by Joint Development Software Application Tea
www.eeworm.com/read/268223/11149268
txt main2.m.txt
global popsize; %种群规模
global pop; %种群
global c1; %个体最优导向系数
global c2; %全局最优导向系数
global w; %惯性权重
global t;
www.eeworm.com/read/411285/11249444
m paint.m
%图形绘制
cla;
subplot(2,2,1);
for i=1:city_n
plot(pos(i,1),pos(i,2),'.');hold on;
end
hold off;
for i=1:(city_n-1)
a=tobu_A(min_pos,i);
b=tobu_A(min_pos,i+1);
line([pos(a,1)
www.eeworm.com/read/249392/12507692
asv initial.asv
%程序初始化
gen=50; %设置进化代数
popsize=50; %设置种群规模大小
best_in_history(gen)=inf; %初始化全局历史最优解
best_in_history(:)=inf; %初始化全局历史最优解
max_velocity=0.5;
%popnum=1; %设置种群数量
pop(popsize,8)=
www.eeworm.com/read/249392/12507718
asv outputdata.asv
%实时输出结果
%输出当前种群中粒子位置
subplot(1,2,1);
for i=1:popsize
plot(pop(i,1),pop(i,2),'b*');
hold on;
end
plot(gbest_x,gbest_y,'r.','markersize',20);axis([-2,2,-2,2]);
hold off;
subplot(1
www.eeworm.com/read/248249/12587734
m paint.m
%图形绘制
cla;
subplot(2,2,1);
for i=1:city_n
plot(pos(i,1),pos(i,2),'.');hold on;
end
hold off;
for i=1:(city_n-1)
a=tobu_A(min_pos,i);
b=tobu_A(min_pos,i+1);
line([pos(a,1)