variable.java

著名IT公司ILog的APS高级排产优化引擎

package com.power.pipeengine.Variable;

import java.util.*;
import com.power.pipeengine.LPModel.*;
import com.power.lpsolver.LPSolve.*;

public class Variable
{
    private Vector _variables = new Vector();
	private Vector _coefficients = new Vector();

	public Vector getAllVariables() {
		return _variables;
	}

	public Vector getAllCoefficients() {
		return _coefficients;
	}

	public void setObjElement( String var, double coeff ) {
        this.setObjElement( Model.getInstance().getModelVariables().addVariable( var ),
                            coeff );
		if( getAllVariables().contains( var ) ) return;
		getAllVariables().addElement( var );
		getAllCoefficients().addElement( new Double( coeff) );
	}

    public void setObjElement( int colNbr, double coeff ) {
        Element elem = MemoryManager.getInstance().getElement();
        elem.setProperties( colNbr, coeff );
        Model.getInstance().getObjectiveFunction().addElement( elem );
    }

	public void sendObjElemToLPModel() {
		ObjectiveFunction objFunc = Model.getInstance().getObjectiveFunction();
		for( int i=0; i<getAllVariables().size(); i++ ) {
			String var = (String) getAllVariables().elementAt( i );
			String coeff = ((Double) getAllCoefficients().elementAt(i)).toString();
			LPModel.getInstance().addObjFuncElement( " + " +
													 coeff +
													 var );
			objFunc.addElement( new Element( Model.getInstance().getModelVariables().addVariable( var ),
											 (Double.valueOf( coeff ) ).doubleValue() ) );
		}

	}

    public void reset() {
    }

}