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July 2013

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ECJ Evolutionary Computation Toolkit <[log in to unmask]>
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David vun Kannon <[log in to unmask]>
Date:
Mon, 22 Jul 2013 15:46:21 -0400
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ECJ Evolutionary Computation Toolkit <[log in to unmask]>
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Hi Sean,
Last week I had a quick read of your GECCO 2013 paper on using Meta-EA to directly find the optimum, instead of finding good parameters (what I'm calling Meta-EA For The Win). My first thought about how to do this in ECJ is to just make a set of subpopulations, each with a different set of parameter settings. Is that on the right track? But that seems wasteful of evaluations, so I was wondering if there is some way to control which subpopulation runs more often - as a way to allocate trials.
Excellent paper, a lot of food for thought!
Cheers,David vun Kannon 		 	   		  

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