How a generative encoding fares as problem-regularity decreases

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5199 LNCS, Issue , 2008, Pages 358-367

  Clune, Jeff ^a   Ofria, Charles ^a   Pennock, Robert T ^a,b  

^a Michigan State University   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

ANN; Evolution; HyperNEAT; Modularity; NEAT; Regularity

Indexed keywords

ENCODING (SYMBOLS); NEURAL NETWORKS;

ANN; EVOLUTION; HYPERNEAT; MODULARITY; NEAT; REGULARITY;

PROBLEM SOLVING;

ANN; EVOLUTION; HYPERNEAT; MODULARITY; NEAT; REGULARITY;

EID: 56449119628     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87700-4_36     Document Type: Conference Paper

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