Runtime analysis of mutation-based geometric semantic genetic programming on boolean functions

DOI10.1145/2460239.2460251zbMath1369.68322OpenAlexW2049889904MaRDI QIDQ5276120

Luca Manzoni, Alberto Moraglio, Andrea Mambrini

Publication date: 14 July 2017

Published in: Proceedings of the twelfth workshop on Foundations of genetic algorithms XII (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10871/20899

zbMATH Keywords

Boolean functionssemanticsgenetic programmingruntime analysisgeometric crossover

Mathematics Subject Classification ID

Analysis of algorithms and problem complexity (68Q25) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (3)

Geometric Semantic Grammatical Evolution ⋮ Destructiveness of lexicographic parsimony pressure and alleviation by a concatenation crossover in genetic programming ⋮ The impact of lexicographic parsimony pressure for ORDER/MAJORITY on the run time

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