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

org.jamesframework.core.problems.datatypes.SubsetData Maven / Gradle / Ivy

Go to download

The James core module is part of the James framework for optimization using local search metaheuristics in Java. The core contains general components to model problems, objectives and constraints, as well as generic algorithms to solve the problems. Moreover, the core provides implementations of specific utilities for subset selection.

There is a newer version: 1.2
Show newest version
//  Copyright 2014 Herman De Beukelaer
//
//  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.jamesframework.core.problems.datatypes;

import java.util.Set;
import org.jamesframework.core.problems.solutions.SubsetSolution;

/**
 * Represents data that corresponds to a subset selection problem. The data consists of a set of entities from which a subset
 * is to be selected, where it is required that each entity can be uniquely identified using an integer ID. This is the only
 * requirement, so that the data can be connected with abstract subset solutions, which are fully defined in terms of IDs only
 * (see {@link SubsetSolution}).
 * 
 * @author Herman De Beukelaer
 */
public interface SubsetData {

    /**
     * Get the set of integer IDs corresponding to the underlying entities from which a subset is to be selected.
     * 
     * @return set of integer IDs corresponding to underlying entities
     */
    public Set getIDs();
    
}




© 2015 - 2024 Weber Informatics LLC | Privacy Policy