step2
所属分类：matlab编程
开发工具：matlab
文件大小：4286KB
下载次数：50
上传日期：2015-02-10 22:44:02
上 传 者：
tjnkrwd
说明： 利用YALMIP工具包实现了一个极其复杂的多目标规划问题
(The realization of a very complex multi-objective programming problem using the YALMIP Toolkit)
文件列表:
step2 (0, 2015-02-10)
step2\5_YALMIP工具箱.pdf (198198, 2015-02-08)
step2\93317461YALMIP (0, 2015-02-10)
step2\93317461YALMIP\yalmip (0, 2015-02-10)
step2\93317461YALMIP\yalmip\@sdpvar (0, 2015-02-10)
step2\93317461YALMIP\yalmip\@sdpvar\Contents.m (6673, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\abs.m (2446, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\acos.m (1325, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\acosh.m (924, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\acot.m (918, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\addfactors.asv (2117, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\addfactors.m (2657, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\addgkyp.m (843, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\addleftfactor.m (271, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\addrightfactor.m (212, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\and.m (2413, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\any.m (222, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\asec.m (925, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\asin.m (933, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\asinh.m (876, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\assign.m (1658, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\atan.m (902, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\beta.m (841, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\binary.m (869, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\blkdiag.m (3113, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\bounds.m (1191, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\brutepersp.m (300, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\cat.m (278, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\ceil.m (1213, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\circshift.m (424, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\clean.m (975, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\cleandoublefactors.m (836, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\clear_poly_dep.m (277, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\clearsdpvar.m (406, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\cone.m (904, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\conj.m (214, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\conv.m (673, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\convexhull.m (40, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\cos.m (1849, 2010-04-28)
step2\93317461YALMIP\yalmip\@sdpvar\cosh.m (982, 2010-04-28)
... ...
*****************************************
6 steps towards a successful installation
*****************************************
1)
Remove any old version of YALMIP
2)
unzip yalmip.zip. This should create the structure
/yalmip
/yalmip/@sdpvar
/yalmip/extras
/yalmip/demos
/yalmip/solvers
/yalmip/modules
/yalmip/operators
3)
Put the following paths in your MATLAB path
/yalmip
/yalmip/extras
/yalmip/demos
/yalmip/solvers
/yalmip/modules
/yalmip/modules/parametric
/yalmip/modules/moment
/yalmip/modules/global
/yalmip/modules/robust
/yalmip/modules/sos
/yalmip/operators
Most easily done either via the gui or addpath(genpath('yourlocation/yalmip'))
4)
Make sure to have the desired solvers in your path.
5)
Restart Matlab, or at least type "clear classes".
6)
Run yalmiptest.m and everything should work (as long as you have the
necessary solvers). Run yalmipdemo for some examples and a brief tutorial.
The on-line Wiki http://control.ee.ethz.ch/~joloef/wiki/pmwiki.php is recommended
*****************************************
Comments and bug-reports are higly appreciated.
Johan Lfberg, Linkping University
johanl@isy.liu.se
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