All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.drools.planner.core.termination.ScoreAttainedTermination Maven / Gradle / Ivy

Go to download

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.

There is a newer version: 6.0.0.Alpha9
Show newest version
/*
 * 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.termination;

import org.drools.planner.core.phase.AbstractSolverPhaseScope;
import org.drools.planner.core.score.Score;
import org.drools.planner.core.solver.DefaultSolverScope;

public class ScoreAttainedTermination extends AbstractTermination {

    private Score scoreAttained;

    public void setScoreAttained(Score scoreAttained) {
        this.scoreAttained = scoreAttained;
    }

    // ************************************************************************
    // Worker methods
    // ************************************************************************

    public boolean isSolverTerminated(DefaultSolverScope solverScope) {
        Score bestScore = solverScope.getBestScore();
        return isTerminated(bestScore);
    }

    public boolean isPhaseTerminated(AbstractSolverPhaseScope solverPhaseScope) {
        Score bestScore = solverPhaseScope.getBestScore();
        return isTerminated(bestScore);
    }

    private boolean isTerminated(Score bestScore) {
        return bestScore != null && bestScore.compareTo(scoreAttained) >= 0;
    }

    public double calculateSolverTimeGradient(DefaultSolverScope solverScope) {
        Score startingInitializedScore = solverScope.getStartingInitializedScore();
        Score bestScore = solverScope.getBestScore();
        return solverScope.getScoreDefinition().calculateTimeGradient(
                startingInitializedScore, scoreAttained, bestScore);
    }

    public double calculatePhaseTimeGradient(AbstractSolverPhaseScope solverPhaseScope) {
        Score startingInitializedScore = solverPhaseScope.getStartingScore();
        Score bestScore = solverPhaseScope.getBestScore();
        return solverPhaseScope.getScoreDefinition().calculateTimeGradient(startingInitializedScore, scoreAttained, bestScore);
    }

}




© 2015 - 2024 Weber Informatics LLC | Privacy Policy