Abstract
The chapter investigates the potential of evolutionary and adaptive search for the decomposition of complex multi-dimensional design spaces into succinct regions of high-performance solutions. Many evolutionary search techniques that attempt to identify and maintain multiple local optima within a multi-modal fitness landscape have been developed within the EC research community and are described in the literature; a selection of these are outlined in the following section. The perceived utility of such techniques when applied in the design domain is that they can return a number of high-performance solutions to the engineer for further off-line evaluation. Such techniques can be of considerable value when applied to specific well-defined problems where some a priori knowledge relating to the nature of the fitness landscape is available.
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© 2001 Springer-Verlag London
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Parmee, I.C. (2001). Evolutionary Design Space Decomposition. In: Evolutionary and Adaptive Computing in Engineering Design. Springer, London. https://doi.org/10.1007/978-1-4471-0273-1_6
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DOI: https://doi.org/10.1007/978-1-4471-0273-1_6
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1061-3
Online ISBN: 978-1-4471-0273-1
eBook Packages: Springer Book Archive