Evolution strategies for engineering design optimisation

Computational Fluid and Solid Mechanics 2003

Volumn , Issue , 2003, Pages 2394-2397

  Willmes, Lars ^a   Bäck, Thomas ^a,b  

^a NuTech Solutions GmbH   (Germany)

^b LEIDEN UNIVERSITY   (Netherlands)

Author keywords

Computational fluid dynamics; Design optimisation; Evolution strategy; Evolutionary algorithm; Parallel and distributed computation; Robust optimisation

Indexed keywords

COMPUTATIONAL FLUID DYNAMICS; EVOLUTIONARY ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION;

DESIGN OPTIMISATION; DISTRIBUTED COMPUTATIONS; ENGINEERING DESIGN; EVOLUTION STRATEGIES; IMPORTANT FEATURES; MULTI-CRITERIA OPTIMISATION; ROBUST OPTIMISATION; SELF ADAPTATION;

OPTIMIZATION;

EID: 79953709455     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-008044046-0.50588-1     Document Type: Chapter

References (8)

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3. Schwefel HP, Bäck T Artificial Evolution: How and Why?. Genetic Algorithms and Evolution Strategies in Engineering and Computer Science 1998, John Wiley & Sons, Chichester. D. Quagliarella, J. Périaux, C. Polnoi, G. Winter (Eds.).
4. Schwefel HP Evolution and Optimum Seeking 1995, John Wiley & Sons, New York.
5. Hansen N, Ostermeier A, Gawelcyk A A derandomized approach to self-adaptation of evolution strategies. Evolut Comput 1994, 4(2).
6. Emmerich M, Bäck T, Willmes L. Asynchronous evolution strategies for distributed direct optimisation. In: Giannakoglou K, Tsahalis D, Periaux J, Papailiou K, Fogarty T (Eds), Evolutionary Methods for Design, Optimisation and Control. Barcelona, 2002.
7. Deb K Multi-Objective Optimization using Evolutionary Algorithms 2001, John Wiley & Sons, Chichester.
8. Naujoks B, Willmes L, Haase W, Bäck T, Schütz M. Multipoint airfoil optimization using evolution strategies. In: Proceedings of the European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS'00), Barcelona 2000.