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Genetic algorithms: A fundamental component of an optimization toolkit for improved engineering designs. (English) Zbl 1038.68894

Cantú-Paz, Erick (ed.) et al., Genetic and evolutionary computation – GECCO 2003. Genetic and evolutionary computation conference, Chicago, IL, USA, July 12–16, 2003. Proceedings, Part II. Berlin: Springer (ISBN 3-540-40603-4/pbk). Lect. Notes Comput. Sci. 2724, 2347-2359 (2003).
Summary: Optimization is being increasing applied to engineering design problems throughout the world. iSIGHT is a generic engineering design environment that provides engineers with an optimization toolkit of leading optimization algorithms and an optimization advisor to solve their optimization needs. This paper focuses on the key role played by the toolkit’s genetic algorithm in providing a robust, general purpose solution to nonlinear continuous, mixed integer nonlinear and integer combinatorial problems. The robustness of the genetic algorithm is demonstrated on successful application to 30 engineering benchmark problems and the following three real world problems: a marine naval propeller, a heart pacemaker and a jet engine turbine airfoil.
For the entire collection see [Zbl 1025.68695].

MSC:

68U99 Computing methodologies and applications
68T05 Learning and adaptive systems in artificial intelligence
68U07 Computer science aspects of computer-aided design

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