Generating sequential space-filling designs using genetic algorithms and Monte Carlo methods

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

Volumn 6457 LNCS, Issue , 2010, Pages 80-84

  Crombecq, Karel ^a   Dhaene, Tom ^b  

^a UNIVERSITY OF ANTWERP   (Belgium)

^b GHENT UNIVERSITY   (Belgium)

Author keywords

active learning; genetic algorithm; Monte Carlo; sequential design; space filling; surrogate modelling

Indexed keywords

ACTIVE LEARNING; MONTE CARLO; SEQUENTIAL DESIGN; SPACE-FILLING; SURROGATE MODELLING; SEQUENTIAL SPACES; SPACE FILLING; SPECIFIC PROBLEMS;

BIOLOGY; DESIGN; FILLING; GENETIC ALGORITHMS; LEARNING ALGORITHMS; OPTIMIZATION;

MONTE CARLO METHODS;

EID: 78650730284     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17298-4_8     Document Type: Conference Paper

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