Approximating a finite element model by neural network prediction for facility optimization in groundwater engineering

European Journal of Operational Research

Volumn 166, Issue 3, 2005, Pages 769-781

  Arndt, Olaf ^a   Barth, Thomas ^a   Freisleben, Bernd ^b   Grauer, Manfred ^a  

^a UNIVERSITY OF SIEGEN   (Germany)

^b PHILIPPS UNIVERSITY MARBURG   (Germany)

Author keywords

Neural networks; Optimization; Parallel computing; Simulation

Indexed keywords

COMPUTER SIMULATION; FINITE ELEMENT METHOD; LARGE SCALE SYSTEMS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; PARALLEL PROCESSING SYSTEMS; PARTIAL DIFFERENTIAL EQUATIONS; SHEET METAL; TOPOLOGY;

BLACK BOX FUNCTIONS; GROUNDWATER ENGINEERING; NON-COVEX SHAPES; SIMULATION-BASED OPTIMIZATION;

GROUNDWATER;

EID: 13544249604     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2003.09.039     Document Type: Conference Paper

References (14)

1. M. Arakawa, H. Nakayama, R. Sasaki, A computational intelligence approach to optimization with unknown objective functions, In: Artificial Neural Networks - ICANN 2001, Lecture notes in Computer Science, vol. 2130, Springer-Verlag, Berlin, 2001, p. 73 ff
2. T. Barth, Distributed solution approaches for simulation-based optimization problems (in German). PhD thesis, University of Siegen, 2001
3. T. Barth, B. Freisleben, M. Grauer, F. Thilo, A scalable algorithm for the solution of simulation-based optimization problems, in: H. Arabnia, (Ed.), Proc. Int. Conf. on Parallel and Distributed Programming Techniques and Applications (PDPTA'2000), Las Vegas/USA, 2000, pp. 469-475
4. K.-J. Bathe Finite-Element-Methods 1989 Springer (in German)
5. M. Berthold, and D. Hand Intelligent Data Analysis 1999 Springer
6. H.-J. Diersch Interactive, Graphics-based Finite-Element Simulation System FEFLOW for Modeling Groundwater Flow Contaminant Mass and Heat Transport 1998
7. C. Farhat, and F.-X. Roux A method of finite element tearing and interconnecting and its parallel solution algorithm International Journal for Numerical Methods in Engineering 32 1991 1205 1227
8. M. Gerdes, T. Barth, M. Grauer, Performance analysis of distributed solution approaches in simulation-based optimization, Working paper No. 41, Department of Information Systems, University of Siegen, 2002
9. M. Grauer, T. Barth, C. Beschorner, J. Bischopink, P. Neuser, Distributed scalable optimization for intelligent sheet metal forming, in: Proc. Third Int. Conf. on Intelligent Processing and Manufacturing of Materials (IPMM'01), Vancouver/Canada on CD, 2001
10. M. Grauer, T. Barth, S. Kaden, and I. Michels Decision support and distributed computing in groundwater management D. Savic G. Walters Water Industry Systems: Modelling and Optimization Applications 1999 Research Studies Press 23 38
11. R. Rojas Neural Networks - A Systematic Introduction 1996 Springer
12. G. Schneider, T. Barth, M. Stettner, M. Grauer, H. Hörnlein, and E. Kereku Multidisciplinary design optimization of an aircraft wing by applying a hybrid optimisation strategy I. Parmee P. Hajela Optimization in Industry 2002 Springer 289 302
13. V. Torczon, and M. Trosset From evolutionary operation to parallel direct search: Pattern search algorithms for numerical optimization Computing Science and Statistics, Houston/Texas 29 1 1997 396 401
14. A. Zell et al., SNNS Stuttgart Neural Network Simulator, 1998, http://www-ra.informatik.uni-tuebingen.de/SNNS/.