Ecological model selection via evolutionary computation and information theory

Genetic Programming and Evolvable Machines

Volumn 5, Issue 2, 2004, Pages 229-241

  Hoffmann, James P ^a   Ellingwood, Christopher D ^a   Bonsu, Osei M ^b   Bentil, Daniel E ^b  

^a UNIVERSITY OF VERMONT   (United States)

^b NONE   (United States)

Author keywords

Complexity based fitness; Model selection; Parsimony, genetic algorithms; Variable length representation

Indexed keywords

COMPLEXITY-BASED FITNESS; MODEL SELECTION; PARSIMONY; VARAIBLE-LENGTH REPRESENTATION;

AUTOMATION; COMPUTATION THEORY; COMPUTER SIMULATION; DATA ACQUISITION; ECOLOGY; GAUSSIAN NOISE (ELECTRONIC); GENES; INFORMATION THEORY; MATHEMATICAL MODELS; POLYNOMIALS; ROBUSTNESS (CONTROL SYSTEMS);

GENETIC ALGORITHMS;

EID: 3543052779     PISSN: 13892576     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:GENP.0000023690.71330.42     Document Type: Conference Paper

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