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Analysis and Design of Search Operators for Trees

Representations for Genetic and Evolutionary Algorithms

Abstract
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AI

This paper discusses the analysis and design of search operators specifically for tree structures within Genetic Evolutionary Algorithms (GEAs). It contrasts direct and indirect representations for trees, emphasizing the development of problem-specific operators when using direct representations like NetDir. The work further analyzes edge-set encoding and its implications on search performance, highlighting trade-offs in representation design and operator development.