CODEWITHSUNDEEP
constraint-programmingojalgo
OrhanC1
OrhanC1

Reputation: 1410

Display all possible solutions in ojAlgo

Question: Is it possible to adjust the above to produce all possible results instead of an optimized one.

Details: Given a data set of armor, I want to produce a set of combinations where my constraints are fulfilled.

    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);

Note: Before recommending libraries, please not that the library must be compatible with Android.

Upvotes: 1

Views: 118

Answers (1)

apete
apete

Reputation: 1320

Answer: No - ojAlgo will output 1 (the optimal if it can find it) solution.

Upvotes: 1

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