Abstract
In essence, the materials that are described in the previous chapters are sufficient for most engineering applications. Not only are they covered in depth, but a wide spectrum of GA knowledge for tackling problems that are difficult to solve by other techniques is given. To demonstrate each special characteristic of the GA individually is not easy, and sometimes these have been combined together in order to obtain the required solutions. Therefore, the purpose of this chapter is to consider three special case studies in which the main features of the GA are outlined. It is also hoped that the advantages of using GA for engineering designs can be highlighted and used as a reference for designing future systems.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer-Verlag London Limited
About this chapter
Cite this chapter
Man, K.F., Tang, K.S., Kwong, S., Halang, W.A. (1997). Advanced GA Applications. In: Genetic Algorithms for Control and Signal Processing. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-0955-6_4
Download citation
DOI: https://doi.org/10.1007/978-1-4471-0955-6_4
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1241-9
Online ISBN: 978-1-4471-0955-6
eBook Packages: Springer Book Archive