Where Does the Good Stuff Go, and Why? How Contextual Semantics Influences Program Structure in Simple Genetic Programming
作者： David E. Goldberg , Una-May O’Reilly
DOI: 10.1007/BFB0055925
关键词:
摘要: Using deliberately designed primitive sets, we investigate the relationship between context-based expression mechanisms and size, height density of genetic program trees during evolutionary process. We show that contextual semantics influence composition, location flows operative code in a program. In detail analyze these dynamics discuss impact our findings on micro-level descriptions programming.
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