have you tried using differential evolution? Memetic algorithms? These approaches can have better convergence properties than the standard (crossover / mutation) genetic algorithms. This might enable you to run fewer, but higher quality simulations and still keep the computer time managable.
Posted by: Gregory Orr | Apr 21, 2012 12:42:17 PM
Are you sure your simulation gives a reliable output for these complex shapes?
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have you tried using differential evolution? Memetic algorithms? These approaches can have better convergence properties than the standard (crossover / mutation) genetic algorithms. This might enable you to run fewer, but higher quality simulations and still keep the computer time managable.
Posted by: Gregory Orr | Apr 21, 2012 12:42:17 PM
Are you sure your simulation gives a reliable output for these complex shapes?
Posted by: Rik | Apr 22, 2012 7:34:11 AM
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