From: clearking@gmail.com   
      
   On Oct 31, 4:09 pm, Tim Frink  wrote:   
   > Hi,   
   >   
   > I'm looking for an approach that uses a genetic algorithm but also   
   > meets some constraints. Let's say, I've three parameters a,b,c   
   > which all can have values between 0 and 100. I want to use a genetic   
   > algorithm that finds the best combination for the values of a, b, c   
   > with the constraint that the sum of all values is not larger than 200.   
   >   
   > A normal GA would try to find a good solution, like a=b=c=100. But   
   > this would violate the constraint of sum <= 200.   
   >   
   > Do you know any approaches that are suitable for this task?   
   >   
   > Regards,   
   > Tim   
   >   
      
   Do you have to use GA? you problem sound more like linear programming   
   problem. GA can also solve the problem, for example, you can add a   
   penalty in your fitness function.   
      
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