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Before trying to answer your question more directly, let me clarify something. People often use the term genetic algorithms (GAs), but, in many cases, what they really mean is evolutionary algorithms (EAs), which is a collection of population-based (i.e. multiple solutions are maintained at the same time) optimization algorithms and approaches that are ...


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In many cases, a fitness function (FF) is indeed similar to a reward function (RF), but, in other cases, it's more similar to a cost function (CF) as used in supervised learning (SL), and I explain below why. The FF, RF, and CF are used to evaluate the individuals, actions, and predictions, respectively, hence they can all be thought of as evaluation ...


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In tree-based genetic programming (TGP), you have a tree that represents a program or a function. The nodes in this tree are functions, while the edges represent the interactions between these functions. The leaves of this tree are the inputs (or random numbers) that you pass to this function. The incoming edges into a node represent the inputs, while the ...


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Grammatical evolution To understand what a codon is, we need to understand what GE is, so let me first provide a brief description of this approach. Grammatical evolution (GE) is an approach to genetic programming where the genotypes are binary (or integer) arrays, which are mapped to the phenotypes (i.e. the actual solutions, which can be represented as ...


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