Learnable evolution model: Difference between revisions

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The [[hypothesis generation]] operator applies a machine learning program to induce descriptions that distinguish between high-[[fitness (biology)|fitness]] and low-fitness individuals in each consecutive [[population]]. Such descriptions delineate areas in the [[search space]] that most likely contain the desirable solutions. Subsequently the instantiation operator samples these areas to create new individuals.
 
== Research Groups ==
*[http://www.mli.gmu.edu Machine Learning and Inference Laboratory at George Mason University]
 
== Selected References ==