Fergal Lane

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Configuring an Evolutionary Algorithm (EA) can be a haphazard and inefficient process. An EA practitioner may have to choose between a plethora of search operator types and other parameter settings. In contrast, the goal of EA principled design is a more streamlined and systematic design methodology, which first seeks to better understand the problem(More)
We introduce a new approach to the principled design of <i>evolutionary algorithms</i> (EAs) based on <i>kernel methods</i>. We demonstrate how <i>kernel functions</i>, which capture useful problem domain knowledge, can be used to directly construct EA search operators. We test two kernel search operators on a suite of four challenging combinatorial(More)
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