Abstract
To properly report results of the experiments described in Chap. 6, we must first resolve some issues related to EA performance measurement in dynamic environments. In this chapter we will address these problems. First we will describe previously used techniques and examine some problems associated with their use. Next we will describe the desired characteristics of performance measurement metrics for dynamic environments. The next section will present our recommended performance evaluation reporting methods and identify how performance will be reported for our experiments. Then we will provide some alternative metrics for standardized reporting of EA performance in dynamic environments, and, finally, we will provide a method for collecting additional dynamic information about EA performance.
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© 2004 Springer-Verlag Berlin Heidelberg
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Morrison, R.W. (2004). Performance Measurement. In: Designing Evolutionary Algorithms for Dynamic Environments. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-06560-0_7
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DOI: https://doi.org/10.1007/978-3-662-06560-0_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05952-0
Online ISBN: 978-3-662-06560-0
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