Do Sophisticated Evolutionary Algorithms Perform Better than Simple Ones?
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posted on 2021-01-19, 11:40 authored by Michael FosterMichael Foster, Matthew Hughes, George O'Brien, Pietro Oliveto, James PyleJames Pyle, Dirk SudholtDirk Sudholt, James WilliamsOur investigation aims to bridge the gap between theoretical and practical evolutionary algorithms. We compared the performance of a wide range of theory-driven EAs, from bare-bones algorithms like the (1+1) EA, a (2+1) GA and simple population-based algorithms to more sophisticated ones like the (1+(λ,λ)) GA and algorithms using fast (heavy-tailed) mutation operators, against sophisticated and highly effective EAs from specific applications.
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