Generating sequential space-filling designs using genetic algorithms and Monte Carlo methods
- Authors
- Publication Date
- Jan 01, 2010
- Identifiers
- DOI: 10.1007/978-3-642-17298-4_8
- OAI: oai:archive.ugent.be:1140796
- Source
- Ghent University Institutional Archive
- Keywords
- Language
- English
- License
- White
- External links
Abstract
In this paper, the authors compare a Monte Carlo method and an optimization-based approach using genetic algorithms for sequentially generating space-filling experimental designs. It is shown that Monte Carlo methods perform better than genetic algorithms for this specific problem.
