- author = "Kosuke Imamura and Terence Soule and Robert B. Heckendorn and James A. Foster",
- title = "Behavioral Diversity and a Probabilistically Optimal {GP} Ensemble",
- journal = "Genetic Programming and Evolvable Machines",
- year = "2003",
- volume = "4",
- number = "3",
- pages = "235--253",
- month = sep,
- keywords = "genetic algorithms, genetic programming, N-version programming, classification, ensemble, diversity",
- ISSN = "1389-2576",
-
DOI = "
doi:10.1023/A:1025124423708",
- abstract = "We propose N-version Genetic Programming (NVGP) as an ensemble method to enhance accuracy and reduce performance fluctuation of programs produced by genetic programming. Diversity is essential for forming successful ensembles. NVGP quantifies behavioural diversity of ensemble members and defines NVGP optimal as an ensemble that has independent fault occurrences among its members. We observed significant accuracy improvement by NVGP optimal ensembles when applied to a DNA segment classification problem.",
-
notes = "Article ID: 5141123
CJMP CJMPI p243 five different types of crossover NVGP",
