260 lines
6.6 KiB
C++
260 lines
6.6 KiB
C++
// -*- c++ -*-
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//=============================================================================
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// Copyright (C) 2011 by Denys Duchier
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//
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// This program is free software: you can redistribute it and/or modify it
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// under the terms of the GNU Lesser General Public License as published by the
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// Free Software Foundation, either version 3 of the License, or (at your
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// option) any later version.
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//
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// This program is distributed in the hope that it will be useful, but WITHOUT
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// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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// FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
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// more details.
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//
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// You should have received a copy of the GNU Lesser General Public License
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// along with this program. If not, see <http://www.gnu.org/licenses/>.
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//=============================================================================
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#ifndef GECODE_COMMON
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#define GECODE_COMMON
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#include "gecode/int.hh"
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#include "gecode/set.hh"
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#include "gecode/search.hh"
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#include <vector>
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namespace generic_gecode
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{
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using namespace std;
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using namespace Gecode;
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// description of the optimization criterion
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struct Optimizing
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{
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enum What { OPT_NONE, OPT_INT, OPT_RATIO };
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enum How { OPT_MIN, OPT_MAX };
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int num;
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int den;
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What what;
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How how;
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Optimizing(): num(-1), den(-1), what(OPT_NONE), how(OPT_MAX) {}
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Optimizing(Optimizing& o)
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: num(o.num), den(o.den), what(o.what), how(o.how) {}
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void maximize(int i)
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{ what = OPT_INT; how = OPT_MAX; num = i; };
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void maximize(int i,int j)
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{ what = OPT_RATIO; how = OPT_MAX; num = i; den = j; };
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void minimize(int i)
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{ what = OPT_INT; how = OPT_MIN; num = i; };
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void minimize(int i,int j)
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{ what = OPT_RATIO; how = OPT_MIN; num = i; den = j; };
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};
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struct GenericSpace;
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struct GenericEngine
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{
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virtual GenericSpace* next(void)=0;
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virtual ~GenericEngine() {};
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};
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struct GenericDFS: GenericEngine
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{
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DFS<GenericSpace> engine;
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GenericDFS(GenericSpace* s) : engine(s) {}
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virtual GenericSpace* next(void) { return engine.next(); }
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};
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struct GenericBAB: GenericEngine
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{
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BAB<GenericSpace> engine;
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GenericBAB(GenericSpace* s) : engine(s) {}
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virtual GenericSpace* next(void) { return engine.next(); }
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};
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struct GenericSpace: Space
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{
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Optimizing optim;
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IntVarArray ivars;
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BoolVarArray bvars;
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SetVarArray svars;
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vector<IntVar>* _ivars;
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vector<BoolVar>* _bvars;
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vector<SetVar>* _svars;
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Space* space() { return this; }
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GenericSpace(bool share, GenericSpace& s)
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: Space(share, s), optim(s.optim),
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_ivars(NULL), _bvars(NULL), _svars(NULL)
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{
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ivars.update(*this, share, s.ivars);
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bvars.update(*this, share, s.bvars);
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svars.update(*this, share, s.svars);
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}
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Space* copy(bool share)
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{ freeze(); return new GenericSpace(share, *this); }
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GenericSpace() : _ivars(NULL), _bvars(NULL), _svars(NULL) {}
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// freeze the space before handing it off to a search engine
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void freeze()
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{
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if (_ivars)
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{
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int n = _ivars->size();
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ivars = IntVarArray(*this, n);
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vector<IntVar>& v(*_ivars);
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for (; n--;) ivars[n] = v[n];
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delete _ivars;
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_ivars = NULL;
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}
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if (_bvars)
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{
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int n = _bvars->size();
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bvars = BoolVarArray(*this, n);
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vector<BoolVar>& v(*_bvars);
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for (; n--;) bvars[n] = v[n];
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delete _bvars;
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_bvars = NULL;
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}
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if (_svars)
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{
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int n = _svars->size();
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svars = SetVarArray(*this, n);
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vector<SetVar>& v(*_svars);
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for (; n--;) svars[n] = v[n];
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delete _svars;
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_svars = NULL;
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}
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}
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IntVar get_ivar(int i) const { return (_ivars) ? (*_ivars)[i] : ivars[i]; }
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BoolVar get_bvar(int i) const { return (_bvars) ? (*_bvars)[i] : bvars[i]; }
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SetVar get_svar(int i) const { return (_svars) ? (*_svars)[i] : svars[i]; }
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GenericEngine* new_engine()
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{
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freeze();
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return (optim.what == Optimizing::OPT_NONE)
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? static_cast<GenericEngine*>(new GenericDFS(this))
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: static_cast<GenericEngine*>(new GenericBAB(this));
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}
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int _new_ivar(IntVar& v)
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{
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if (!_ivars) _ivars = new vector<IntVar>;
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int i = _ivars->size();
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_ivars->push_back(v);
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return i;
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}
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int new_ivar(int lo, int hi)
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{
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IntVar v(*this, lo, hi);
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return _new_ivar(v);
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}
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int new_ivar(IntSet& s)
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{
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IntVar v(*this, s);
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return _new_ivar(v);
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}
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int _new_bvar(BoolVar& v)
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{
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if (!_bvars) _bvars = new vector<BoolVar>;
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int i = _bvars->size();
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_bvars->push_back(v);
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return i;
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}
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int new_bvar()
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{
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BoolVar v(*this, 0, 1);
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return _new_bvar(v);
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}
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int _new_svar(SetVar& v)
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{
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if (!_svars) _svars = new vector<SetVar>;
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int i = _svars->size();
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_svars->push_back(v);
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return i;
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}
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int new_svar(int glbMin, int glbMax, int lubMin, int lubMax,
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unsigned int cardMin=0,
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unsigned int cardMax=Set::Limits::card)
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{
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SetVar v(*this, glbMin, glbMax, lubMin, lubMax, cardMin, cardMax);
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return _new_svar(v);
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}
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int new_svar(IntSet glb, int lubMin, int lubMax,
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unsigned int cardMin=0,
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unsigned int cardMax=Set::Limits::card)
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{
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SetVar v(*this, glb, lubMin, lubMax, cardMin, cardMax);
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return _new_svar(v);
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}
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int new_svar(int glbMin, int glbMax, IntSet lub,
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unsigned int cardMin=0,
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unsigned int cardMax=Set::Limits::card)
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{
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SetVar v(*this, glbMin, glbMax, lub, cardMin, cardMax);
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return _new_svar(v);
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}
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int new_svar(IntSet glb, IntSet lub,
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unsigned int cardMin=0,
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unsigned int cardMax=Set::Limits::card)
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{
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SetVar v(*this, glb, lub, cardMin, cardMax);
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return _new_svar(v);
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}
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void minimize(int i) { optim.minimize(i); }
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void minimize(int i, int j) { optim.minimize(i,j); }
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void maximize(int i) { optim.maximize(i); }
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void maximize(int i, int j) { optim.maximize(i,j); }
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virtual void constrain(const Space& s)
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{
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const GenericSpace& sol = static_cast<const GenericSpace&>(s);
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switch (optim.what)
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{
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case Optimizing::OPT_NONE:
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break;
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case Optimizing::OPT_INT:
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rel(*this, ivars[optim.num],
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((optim.how==Optimizing::OPT_MIN) ? IRT_LE : IRT_GR),
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sol.ivars[optim.num].val());
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break;
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case Optimizing::OPT_RATIO:
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{
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IntArgs c(2, sol.ivars[optim.den].val(),
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- sol.ivars[optim.num].val());
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IntVarArgs v(2);
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v[0] = ivars[optim.num];
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v[1] = ivars[optim.den];
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linear(*this, c, v,
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((optim.how==Optimizing::OPT_MIN) ? IRT_LE : IRT_GR), 0);
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break;
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}
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}
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}
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};
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}
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#ifdef DISJUNCTOR
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#include "disjunctor.icc"
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#endif
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#endif
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