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Volumn 159, Issue 1, 2011, Pages 84-95

Generator approach to evolutionary optimization of catalysts and its integration with surrogate modeling

Author keywords

Artificial neural networks; Evolutionary optimization; Multilayer perceptron; Optimization of catalytic materials; Regression boosting; Surrogate modeling

Indexed keywords

ARTIFICIAL NEURAL NETWORK; EVOLUTIONARY OPTIMIZATIONS; MULTILAYER PERCEPTRON; REGRESSION BOOSTING; SURROGATE MODELING;

EID: 78650702258     PISSN: 09205861     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cattod.2010.05.031     Document Type: Conference Paper
Times cited : (8)

References (71)
  • 16
    • 59749100776 scopus 로고    scopus 로고
    • Examination of genetic programming paradigm for high-throughput experimentation and heterogeneous catalysis
    • L.A. Baumes, and P. Collet Examination of genetic programming paradigm for high-throughput experimentation and heterogeneous catalysis Comput. Mater. Sci. 45 2009 27 40
    • (2009) Comput. Mater. Sci. , vol.45 , pp. 27-40
    • Baumes, L.A.1    Collet, P.2
  • 17
    • 33745762617 scopus 로고    scopus 로고
    • H. Majeed, and C. Ryan P. Collet, M. Tomassini, M. Ebner, S. Gustafson, A. Ekárt, Genetic Programming 2006 Springer Berlin 36 48
    • (2006) Genetic Programming , pp. 36-48
    • Majeed, H.1    Ryan, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.