ICT environment for multi-disciplinary design and multi-objective optimisation: A case study

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

Volumn 2329 LNCS, Issue PART 1, 2002, Pages 663-672

  Vankan, W J ^a   Maas, R ^a   Ten Dam, M ^a  

^a NATIONAL AEROSPACE LABORATORY NLR   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; JAVA PROGRAMMING LANGUAGE; USER INTERFACES; ALGORITHMS; OPTIMIZATION;

BLENDED WING BODY AIRCRAFTS; JAVA APPLET; MULTI-DISCIPLINARY DESIGNS; OBJECTIVE FUNCTIONS; OPTIMISATIONS; STAND -ALONE; WEB CLIENTS;

MULTIOBJECTIVE OPTIMIZATION;

EID: 84876896528     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46043-8_67     Document Type: Conference Paper

References (14)

1. Allwright, S.: Multi-discipline Optimisation in Preliminary Design of Commercial Transport Aircraft. In: Proc. ECCOMAS'96 Conference, Paris (1996)
2. Baalbergen, E.H., van der Ven, H.: SPINEware - A Framework for User-Oriented and Tailorable Metacomputers, Future Generation Computer Systems 15 (1999) 549-558
3. Bishop. Chr. M: Neural Networks for Pattern Recognition. Clarendon Press, Oxford (1997)
4. Fonseca, CM., Fleming, P.J.: Genetic Algorithms for Multi-Objective Optimization: Formulation, Discussion and Generalization. In: Genetic Algorithms: Proc. of the Fifth Int. Conf., San Mateo, CA, USA (1993) 416-423
5. Fonseca, CM., Fleming, P.J.: An Overview of Evolutionary Algorithms in Multi-Objective Optimization. Evolutionary Computing 3 (1995) 1-16
6. The MathWorks: Matlab Optimization Toolbox, http://www.mathworks.com/ products/optimization.
7. The MathWorks: Matlab Neural Network Toolbox, http://www.mathworks.com/ products/neural.
8. Pareto, V.: Manuale di Economia Politica. Sociata Editrice Libraria, Milan, Italy (1906).
9. Sawaraki, Y., and Nakayama, H.: The Theory of Multiobjective Optimization. Academic Press, Inc, (1985)
10. Schultheiss, B.C., Baalbergen, E.H.: Utilizing Supercomputer Power from your Desktop. HPCN 2001 Conference, Amsterdam (2001)
11. Tan, K.C.,: MOEA - Multi-objective Evolutionary Algorithm, http://vlab.ee.nus.edu.sg/~kctan.
12. Vogels M.E.S., Arendsen, P., Krol, R.J., Laban M., and Pruis, G.W.: From a Mono-disciplinary to a Multidisciplinary Approach in Aerospace: As Seen from Information and Communication Technology Perspective. In: ICAS 98, Melbourne, Australia (1998)
13. "MOB: A Computational Design Engine Incorporating Multi-disciplinary Design and Optimisation for Blended-Wing-Body Configuration". EC 5th Framework Programme, Contract nr. GRD1 -1999-11162 (2000).
14. Shyy W., Nilay P., Vaidyanathan R., Tucker K.: Global design optimization for aerodynamics and rocket proulsion components. Progress in Aerospace Sciences 37 (2001) 59-118.