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Diffstat (limited to 'mkcls-v2/PopOptimization.cpp')
-rw-r--r-- | mkcls-v2/PopOptimization.cpp | 105 |
1 files changed, 105 insertions, 0 deletions
diff --git a/mkcls-v2/PopOptimization.cpp b/mkcls-v2/PopOptimization.cpp new file mode 100644 index 0000000..2e65a2c --- /dev/null +++ b/mkcls-v2/PopOptimization.cpp @@ -0,0 +1,105 @@ +/* + +Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och + +mkcls - a program for making word classes . + +This program is free software; you can redistribute it and/or +modify it under the terms of the GNU General Public License +as published by the Free Software Foundation; either version 2 +of the License, or (at your option) any later version. + +This program is distributed in the hope that it will be useful, +but WITHOUT ANY WARRANTY; without even the implied warranty of +MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +GNU General Public License for more details. + +You should have received a copy of the GNU General Public License +along with this program; if not, write to the Free Software +Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, +USA. + +*/ + + + + +#include "PopOptimization.h" +#include "ProblemTest.h" + + +int compareProbAndOpt(const void *p,const void *j) +{ + double a=((ProbAndOpt *)p)->prob->value(); + double b=((ProbAndOpt *)j)->prob->value(); + if(a==b) + return 0; + if(a<b) + return -1; + else + return +1; +} +bool operator<(const ProbAndOpt&a, const ProbAndOpt&b) + { + return a.prob->value()<b.prob->value(); + } +bool operator==(const ProbAndOpt&a, const ProbAndOpt&b) + { + return a.prob->value()==b.prob->value(); + } + +ostream& operator<<(ostream&o , const ProbAndOpt&){return o;} +istream& operator>>(istream&i , ProbAndOpt&){return i;} + + + +PopOptimization::PopOptimization(Problem &p,int verf,int anz) +: probandopt(anz),initialisiert(0),verfahren(verf) +{ + originalProblem = &p; +} + + +int PopOptimization::size() +{ + return probandopt.size(); +} + +Problem *PopOptimization::problem(int i) +{ + assert(initialisiert); + return probandopt[i].prob; +} + +Optimization *PopOptimization::optimization(int i) +{ + assert(initialisiert); + return probandopt[i].opt; +} + +void PopOptimization::zInitialize() +{ + int i; + zufallSeed(); + for(i=0;i<size();i++) + { + probandopt[i].prob=originalProblem->makeEqualProblem(); + probandopt[i].prob->initialize(); + } + + zufallSeed(); + for(i=0;i<size();i++) + probandopt[i].opt=(Optimization *)genIterOptimizer(verfahren, + *(probandopt[i].prob),-1); + + initialisiert=1; +} + + +void PopOptimization::sort() +{ + assert(initialisiert); + + probandopt.sort(size()); +} + |