Genetic Algorithms with Optimization Guided Operators
Recent work in ML applies genetic algorithms at inference time to iteratively improve solutions to optimization problems. The basic mutation and recombination operators involved are qualitatively different from those studied classically. Mutations are no longer random; an ML algorithm mutates a solution with the goal o...
Anna M. Brandenberger, Ilan Doron-Arad, Elchanan Mossel
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