Geometric Landscape of Homologous Crossover for Syntactic Trees
Alberto Moraglio, Riccardo Poli
Abstract
Alberto Moraglio, Riccardo Poli
Abstract
The relationship between search space, distances and genetic operators for syntactic trees is little understood. Geometric crossover and geometric mutation are representation-independent operators that are well-defined once a notion of distance over the solution space is defined. In this paper we apply this geometric framework to the syntactic tree representation and show how the well-known structural distance is naturally associated with homologous crossover and sub-tree mutation
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The relationship between search space, distances and genetic operators for syntactic trees is little understood. Geometric crossover and geometric mutation are representation-independent operators that are well-defined once a notion of distance over the solution space is defined. In this paper we apply this geometric framework to the syntactic tree representation and show how the well-known structural distance is naturally associated with homologous crossover and sub-tree mutation
Key concepts: Crossover, Representation (politics), Fitness landscape, Mutation, Computer science, Tree (set theory), Space (punctuation), Mathematics