By Witold Kosinski
With the new tendencies in the direction of sizeable facts units and important computational energy, mixed with evolutionary algorithmic advances evolutionary computation is changing into even more proper to perform. goal of the booklet is to give contemporary advancements, leading edge principles and ideas in part of an enormous EA box.
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Additional info for Advances in Evolutionary Algorithms
Unfit ones die and are removed from the population (Langdon & Poli, 2002). This procedure is graphically illustrated in Fig. 2. 2 Considerations about selected theoretical aspects of evolutionary computation techniques Fig. 1 indicates that this classification - especially of the bionic methods - is mainly inspired by the natural role-model. For a more directed consideration of algorithmic concepts of the different methods, it is reasonable to differentiate these methods by their basic idea. One possible (and especially in the context of further considerations drawn in this paper) wellsuited classification is the distinction between neighbourhood-based and nonneighbourhood-based search techniques as illustrated in Fig.
Especially the latter combination provides a very powerful, generic and stable algorithm for the identification of nonlinear systems, no matter if the application at hand is in the context of regression, classification or time-series analysis. After a general introduction in heuristic optimization and Evolutionary Algorithms, the further developed algorithmic concepts are explained. Furthermore, some exemplary applications of Genetic Programming to data based system identification problems are illustrated.
No More Lunch: Analysis of Sequential Search, Proceedings of the 2004 IEEE Congress on Evolutionary Computation, pp. 227-234. H. Choe G. , Computational Ergodic Theory. Springer, Heidelber, New York 2005 G. : An entropic measurement of queueing behaviour in a class of manufacturing operations. Proc. Royal Soc. London A (2001) 457, 1579- 1601. A. Lasota, Asymptotic properties of semigroups of Markov operators (in Polish), Matematyka Stosowana. Matematyka dla Społeczeństwa,PTM, Warszawa, 3(45), 2002, 39-51.
Advances in Evolutionary Algorithms by Witold Kosinski