Defining constraints in Jenetics












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I have previously worked with the MOEA Framework, which knows the concept of constraints. That is, a solution to a problem might have a good fitness, but is infeasible. For instance, when working with the knapsack problem, a particular combination of items may lead to a high profit, but their weight exceeds the knapsack's capacity. A corresponding fitness function would include lines like:



// Set the fitness (=> profit) of the solution (=> knapsack).
solution.setObjective(0, profit)
// Set the constrain (=> 0.0 if OK, , otherwise the distance to the boundary).
solution.setConstraint(0, (weight <= capacity) ? 0.0 : weight - capacity)


Another example in case of a multi-objective knapsack problem would be the constraint that a knapsack is not allowed to use items which are already used in another knapsack.



Has Jenetics something similar? Or how could I encode constraints as part of the fitness function (or somewhere else)?










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    1















    I have previously worked with the MOEA Framework, which knows the concept of constraints. That is, a solution to a problem might have a good fitness, but is infeasible. For instance, when working with the knapsack problem, a particular combination of items may lead to a high profit, but their weight exceeds the knapsack's capacity. A corresponding fitness function would include lines like:



    // Set the fitness (=> profit) of the solution (=> knapsack).
    solution.setObjective(0, profit)
    // Set the constrain (=> 0.0 if OK, , otherwise the distance to the boundary).
    solution.setConstraint(0, (weight <= capacity) ? 0.0 : weight - capacity)


    Another example in case of a multi-objective knapsack problem would be the constraint that a knapsack is not allowed to use items which are already used in another knapsack.



    Has Jenetics something similar? Or how could I encode constraints as part of the fitness function (or somewhere else)?










    share|improve this question



























      1












      1








      1








      I have previously worked with the MOEA Framework, which knows the concept of constraints. That is, a solution to a problem might have a good fitness, but is infeasible. For instance, when working with the knapsack problem, a particular combination of items may lead to a high profit, but their weight exceeds the knapsack's capacity. A corresponding fitness function would include lines like:



      // Set the fitness (=> profit) of the solution (=> knapsack).
      solution.setObjective(0, profit)
      // Set the constrain (=> 0.0 if OK, , otherwise the distance to the boundary).
      solution.setConstraint(0, (weight <= capacity) ? 0.0 : weight - capacity)


      Another example in case of a multi-objective knapsack problem would be the constraint that a knapsack is not allowed to use items which are already used in another knapsack.



      Has Jenetics something similar? Or how could I encode constraints as part of the fitness function (or somewhere else)?










      share|improve this question
















      I have previously worked with the MOEA Framework, which knows the concept of constraints. That is, a solution to a problem might have a good fitness, but is infeasible. For instance, when working with the knapsack problem, a particular combination of items may lead to a high profit, but their weight exceeds the knapsack's capacity. A corresponding fitness function would include lines like:



      // Set the fitness (=> profit) of the solution (=> knapsack).
      solution.setObjective(0, profit)
      // Set the constrain (=> 0.0 if OK, , otherwise the distance to the boundary).
      solution.setConstraint(0, (weight <= capacity) ? 0.0 : weight - capacity)


      Another example in case of a multi-objective knapsack problem would be the constraint that a knapsack is not allowed to use items which are already used in another knapsack.



      Has Jenetics something similar? Or how could I encode constraints as part of the fitness function (or somewhere else)?







      java optimization genetic-algorithm






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      edited Nov 21 '18 at 16:42







      beatngu13

















      asked Nov 21 '18 at 12:50









      beatngu13beatngu13

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          Jenetics doesn't support constraints directly. You can set a phenotypeValidator in the Engine.Builder. This will reject Phenotypes and recreate invalid individuals. Not exactly a constraint, but a kind of. The second possibility is to return the minimum fitness value for all objectives for such values.






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            Jenetics doesn't support constraints directly. You can set a phenotypeValidator in the Engine.Builder. This will reject Phenotypes and recreate invalid individuals. Not exactly a constraint, but a kind of. The second possibility is to return the minimum fitness value for all objectives for such values.






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              Jenetics doesn't support constraints directly. You can set a phenotypeValidator in the Engine.Builder. This will reject Phenotypes and recreate invalid individuals. Not exactly a constraint, but a kind of. The second possibility is to return the minimum fitness value for all objectives for such values.






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                Jenetics doesn't support constraints directly. You can set a phenotypeValidator in the Engine.Builder. This will reject Phenotypes and recreate invalid individuals. Not exactly a constraint, but a kind of. The second possibility is to return the minimum fitness value for all objectives for such values.






                share|improve this answer













                Jenetics doesn't support constraints directly. You can set a phenotypeValidator in the Engine.Builder. This will reject Phenotypes and recreate invalid individuals. Not exactly a constraint, but a kind of. The second possibility is to return the minimum fitness value for all objectives for such values.







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                answered Nov 21 '18 at 15:33









                Franz WilhelmstötterFranz Wilhelmstötter

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