Performance Measurement in Dynamic Environments
نویسنده
چکیده
There has not been a uniform agreement regarding what constitutes “good” performance for evolutionary algorithms in dynamic environments. A performance measurement method should, as a minimum, have an intuitive meaning and provide straightforward methods for statistical significance testing of comparative results. In this paper we attempt to resolve some issues related to EA performance measurement in dynamic environments.
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