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Drools Planner optimizes automated planning by combining metaheuristic search algorithms with rule
engine powered score calculation. This is the drools-planner-core module which contains metaheuristic
algorithms.
/*
* Copyright 2010 JBoss Inc
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.drools.planner.core.solution;
import java.util.Collection;
import org.drools.WorkingMemory;
import org.drools.planner.core.Solver;
import org.drools.planner.core.score.Score;
import org.drools.planner.core.score.director.drools.DroolsScoreDirector;
import org.drools.planner.core.solver.ProblemFactChange;
/**
* A Solution represents a problem and a possible solution of that problem.
* A possible solution does not need to optimal or even feasible.
* A Solution does not even have to be initialized with a possible solution.
*
* A Solution is mutable.
* Drools Planner will continuously modify the same solution for scalability reasons
* and clone it to recall the best solution.
*/
public interface Solution {
/**
* Returns the Score of this Solution.
* @return null if the Solution is uninitialized
* or the last calculated Score is dirty the new Score has not yet been recalculated
*/
S getScore();
/**
* Called by the {@link Solver} when the Score of this Solution has been calculated.
* @param score null if the Solution has changed and the new Score has not yet been recalculated
*/
void setScore(S score);
/**
* Called by the {@link DroolsScoreDirector} when the {@link Solution} needs to be inserted
* into an empty {@link WorkingMemory}.
* These facts can be used by the score rules.
* They don't change during planning (except through {@link ProblemFactChange} events).
*
* Do not include the planning entities as problem facts:
* they are automatically inserted into the {@link WorkingMemory} if and only if they are initialized.
* When they are initialized later, they are also automatically inserted.
* @return never null (although an empty collection is allowed),
* all the facts of this solution except for the planning entities
*/
Collection getProblemFacts();
/**
* Called by the {@link Solver} when the solution needs to be cloned,
* for example to store a clone of the current solution as the best solution.
*
* A clone must also shallow copy the score.
* @return never null, a clone of which the properties that change during solving are deep cloned
*/
Solution cloneSolution();
}