Probability Control Functions Settings in Continual Evolution Algorithm. Zdenek Buk, Miroslav Snorek. IWIM, Prague, 2007.

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Abstract. The precise setting of all control parameters of evolutionary algorithms is very important because it affects time needed to find solution, quality of final solution or event the ability to find proper solution, and other technical parameters of computation (e.g. memory requirements), etc. In this paper we are presenting some experiences with settings of probability control functions in continual evolution algorithm (CEA). Evolutionary algorithms are typical examples of nature inspired methods. We will show that the intuitive approach in exact parameters settings, based on our ideas about the nature processes, is not always the best one and we will show the modifications of control functions in CEA algorithm.

Keywords. continual evolution algorithm, parameters setting

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