The best currently known class of dynamically equivalent cellular automata rules for density classification

Neurocomputing

Volumn 70, Issue 1-3, 2006, Pages 35-43

  de Oliveira, Pedro P B ^a   Bortot, José C ^b   Oliveira, Gina M B ^c  

^a MACKENZIE PRESBYTERIAN UNIVERSITY   (Brazil)

^b Faculty of Engineering   (Brazil)

^c FEDERAL UNIVERSITY OF UBERLÂNDIA   (Brazil)

Author keywords

Cellular automata; Density classification task; Dynamic behaviour; Emergent computation; Evolutionary multiobjective optimisation; Nondominated sorting genetic algorithm

Indexed keywords

AUTOMATA THEORY; GENETIC ALGORITHMS; HEURISTIC PROGRAMMING; KNOWLEDGE BASED SYSTEMS; OPTIMIZATION;

CELLULAR AUTOMATA; DENSITY CLASSIFICATION TASK; EMERGENT COMPUTATION; EVOLUTIONARY MULTIOBJECTIVE OPTIMISATION;

CELLULAR NEURAL NETWORKS;

ARTICLE; CLASSIFICATION; COMPUTER ANALYSIS; COMPUTER PROGRAM; COMPUTER SYSTEM; DENSITY; GENETIC ALGORITHM; LOCAL AREA NETWORK; PRIORITY JOURNAL;

EID: 33751042008     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.07.003     Document Type: Article

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