代码搜索：Objective
找到约 3,719 项符合「Objective」的源代码
代码结果 3,719
www.eeworm.com/read/297653/8005885
m optfun_36.m
function y=optfun_36(x)
% OPTFUN_36 An objective function function for optimal controller design
%
% The function is created by PID toolbox.
% Date of creation 07-Dec-2004
assignin('base'
www.eeworm.com/read/297653/8005886
m optfun_39.m
function y=optfun_39(x)
% OPTFUN_39 An objective function function for optimal controller design
%
% The function is created by PID toolbox.
% Date of creation 07-Dec-2004
assignin('base'
www.eeworm.com/read/297653/8005894
m optfun_43.m
function y=optfun_43(x)
% OPTFUN_43 An objective function function for optimal controller design
%
% The function is created by PID toolbox.
% Date of creation 07-Dec-2004
assignin('base'
www.eeworm.com/read/297653/8005902
m optfun_35.m
function y=optfun_35(x)
% OPTFUN_35 An objective function function for optimal controller design
%
% The function is created by PID toolbox.
% Date of creation 07-Dec-2004
assignin('base'
www.eeworm.com/read/142788/12921771
h objectivestrigger.h
// ----------------------------------------------------------------------- //
//
// MODULE : ObjectivesTrigger.h
//
// PURPOSE : ObjectivesTrigger - Definition
//
// CREATED : 10/4/98
//
// -
www.eeworm.com/read/139772/13135317
mes~orig hs105ori.mes~orig
step=0
startvalue corrected in order to fit bounds
donlp2, v3, 05/29/98, copyright P. Spellucci
Tue Sep 19 21:02:10 2000
hs105orig
step=13
rescaling of objective function scf= 1.858199357843808e-02
st
www.eeworm.com/read/139772/13135330
mes~orig alkylati.mes~orig
step=0
startvalue corrected in order to fit bounds
donlp2, v3, 05/29/98, copyright P. Spellucci
Thu Feb 24 16:52:37 2000
alkylation
step=22
rescaling of objective function scf= 1.651563398263775e-02
s
www.eeworm.com/read/315324/13545923
m dsc_search.m
% Program: DSC_search.m
% Title: Davies-Swann-Campey Search
% Description: Implements the Davies-Swann-Campey search.
% Theory: See Practical Optimization Sec. 4.7
% Input:
% fname: objective
www.eeworm.com/read/400232/11580282
m initialize_variables.m
function f = initialize_variables(N,problem)
% function f = initialize_variables(N,problem)
% N - Population size
% problem - takes integer values 1 and 2 where,
% '1' for MOP1
%
www.eeworm.com/read/152398/12117449
m imc1sen.m
function [f]=imc1sen(x,y,E,signo,w,n,Mp,p,m,q,qf,qd,pds)
if n > 0
s=sqrt(-1)*x(n);
elseif n == 0
s=sqrt(-1)*w;
end
if length(E) == 1
E(2)=E(1);
end
e=E(2);
cont=eval(q);
plant=ev