Fitness landscape analysis of automated machine learning search spaces

DOI10.1007/978-3-030-43680-3_8zbMath1484.68193OpenAlexW3015201913MaRDI QIDQ2057125

Cristiano G. Pimenta, Gisele L. Pappa, Gabriela Ochoa, Alex G. C. de Sá

Publication date: 8 December 2021

Full work available at URL: http://hdl.handle.net/1893/31235

zbMATH Keywords

neutralityfitness landscape analysisautomated machine learningfitness distance correlation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (2)

On the effect of solution representation and neighborhood definition in AutoML fitness landscapes ⋮ Dynamic fitness landscape-based adaptive mutation strategy selection mechanism for differential evolution

Uses Software

• UCI-ml
• Scikit
• OpenML
• TPOT
• Auto-WEKA
• auto-sklearn

Cites Work

• A study of the neutrality of Boolean function landscapes in genetic programming
• Neutrality in fitness landscapes.
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Fitness landscape analysis of automated machine learning search spaces