Knowledge-Based Evolutionary Search for Inductive Concept Learning
作者： Federico Divina , Elena Marchiori
DOI: 10.1007/978-3-540-44511-1_12
关键词:
摘要: This chapter provides a short overview of GA-based system for inductive concept learning (in fragment first-order logic) . The described exploits problem—specific knowledge by means ad-hoc selection, mutation operators, and optimization applied to the single individuals. We focus on experimental analysis selection operators incorporating problem knowledge.
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