在Ojalgo中显示所有可能的解决方案

问题: 是否可以调整以上内容以产生所有可能的结果,而不是优化的结果。

细节: 给定一组装甲数据,我想生成一组满足约束的组合。

    Variable helm1 = model.addVariable("Helm 1").binary();
    Variable helm2 = model.addVariable("Helm 2").binary();
    Variable helm3 = model.addVariable("Helm 3").binary();

    Variable arm1 = model.addVariable("Arm 1").binary();
    Variable arm2 = model.addVariable("Arm 2").binary();
    Variable arm3 = model.addVariable("Arm 3").binary();

    Expression statA = model.addExpression().lower(0).weight(1);
    Expression statB = model.addExpression().lower(0).weight(1);
    Expression statC = model.addExpression().lower(0).weight(1);
    //Lower Limit set for desired stat
    Expression statD = model.addExpression().lower(2).weight(1); 

    // Limit number of helms you can equip
    model.addExpression().upper(1).set(helm1,1).set(helm2,1).set(helm3,1);
    model.addExpression().upper(1).set(arm1,1).set(arm2,1).set(arm3,1);

    statA.set(arm1, 1);

    statB.set(helm2, 1);
    statB.set(helm3, 1);
    statB.set(arm2, 1);

    statC.set(helm1, 1);
    statC.set(arm2, 1);
    statC.set(arm3, 1);

    statD.set(helm3, 3);
    statD.set(arm1, 1);
    Optimisation.Result result = model.maximise();
    BasicLogger.debug(result);

注: 在推荐库之前,请不要认为库必须与android兼容。