2005Unpublished venueRequires access

Geometric Landscape of Homologous Crossover for Syntactic Trees

Alberto Moraglio, Riccardo Poli

Open publisher page 35 citations

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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What this paper is about

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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OpenAlex reports 35 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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

Key concepts: Crossover, Representation (politics), Fitness landscape, Mutation, Computer science, Tree (set theory), Space (punctuation), Mathematics

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