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Problems and limitations of bionic optimization

  • We have seen that bionic optimization can be a powerful tool when applied to problems with non-trivial landscapes of goals and restrictions. This, in turn, led us to a discussion of useful methodologies for applying this optimization to real problems. On the other hand, it must be stated that each optimization is a time consuming process as soon as the problem expands beyond a small number of free parameters related to simple parabolic responses. Bionic optimization is not a quick approach to solving complex questions within short times. In some cases it has the potential to fail entirely, either by sticking to local maxima or by random exploration of the parameter space without finding any promising solutions. The following sections present some remarks on the efficiency and limitations users must be aware of. They aim to increase the knowledge base of using and encountering bionic optimization. But they should not discourage potential users from this promising field of powerful strategies to find good or even the best possible designs.

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Author of HS ReutlingenPopova, Tatiana; Kmitina, Iryna; Steinbuch, Rolf; Gekeler, Simon
Erschienen in:Bionic optimization in structural design : stochastically based methods to improve the performance of parts and assemblies
Place of publication:Berlin, Heidelberg
Editor:Rolf Steinbuch
Document Type:Book chapter
Publication year:2016
Page Number:21
First Page:57
Last Page:77
PPN:Im Katalog der Hochschule Reutlingen ansehen
DDC classes:620 Ingenieurwissenschaften und Maschinenbau
Open access?:Nein
Licence (German):License Logo  In Copyright - Urheberrechtlich geschützt