Abstract
The main objective of this chapter is to provide practical guidelines for working with EAs. Working with EAs often means comparing different versions experimentally. Guidelines to perform experimental comparisons are therefore given much attention, including the issues of algorithm performance measures, statistics, and benchmark test suites. The example application (Sect. 14.5) is also adjusted to the special topics here; it illustrates the application of different experimental practices, rather than EA design.
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References
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© 2003 Springer-Verlag Berlin Heidelberg
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Eiben, A.E., Smith, J.E. (2003). Working with Evolutionary Algorithms. In: Introduction to Evolutionary Computing. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05094-1_14
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DOI: https://doi.org/10.1007/978-3-662-05094-1_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-07285-7
Online ISBN: 978-3-662-05094-1
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