An experimental study about the search mechanism in the SLAVE learning algorithm: Hill-climbing methods versus genetic algorithms

DOI10.1016/S0020-0255(01)00145-1zbMath0996.68159OpenAlexW2042385911MaRDI QIDQ1602488

R. Smith

Publication date: 23 June 2002

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0020-0255(01)00145-1

zbMATH Keywords

inductive learning algorithm

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 (3)

Ten years of genetic fuzzy systems: Current framework and new trends. ⋮ Optimization of fuzzy partitions for inductive reasoning using genetic algorithms ⋮ Learning fuzzy partitions in FIR methodology

Uses Software

• UCI-ml

Cites Work

• Optimization by Simulated Annealing
• Generalized speculative computation of parallel simulated annealing
• Unnamed Item

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