By Witold Kosinski
With the new tendencies in the direction of substantial information units and demanding computational strength, mixed with evolutionary algorithmic advances evolutionary computation is turning into even more appropriate to perform. goal of the e-book is to offer contemporary advancements, cutting edge principles and ideas in part of a big EA box.
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Additional info for Advances in Evolutionary Algorithms
We begin this chapter by describing the PBIL algorithm and, then, we present the main steps to the FPBIL algorithm it self. Afterwards, we compare the performance of FPBIL against other algorithms in typical benchmark problems and finally we propose some concluding remarks. 2. PBIL algorithm The PBILwas created in 1994, by Shumeet Baluja. , 1993) in an attempt to simulate the behavior of the genetic algorithms 50 Advances in Evolutionary Algorithms (Holland, 1992; Goldberg, 1989) in “equilibrium state”, after repeated applications of the crossover operator.
An introduction to simulated evolutionary optimization. IEEE Trans. 5, No. 1. 3--14, 1994. E. (1989) Genetic Alogorithms in Search, Optimization and Machine Learning. Addison Wesley Longman, 1989. H. (1975). Adaption in Natural and Artificial Systems. University of Michigan Press, 1975. M. K. (1990). Time Series. Edward Arnold, London, 1990. R. (1992). Genetic Prohramming: On the Programming of Computers by means of Natural Selection. The MIT Press, 1992. Langdon, B. & Poli, R. (2002). Foundations of Genetic Programming.
By far not all algorithmic extensions of SASEGASA are relevant in GP. Only some algorithmic aspects of the rather complex SASEGASA concept are really relevant in the GP domain which makes the handling and especially parameter adjustment easier and more robust. Therefore, the discussion in this article will focus on the algorithmic parts of SASEGASA which are really relevant for GP. In doing so, this section is structured as follows: The first subsection describes the general idea of SASEGASA in a quite compact way, whereas the second subsection focusses on that parts of SASEGASA in further detail which are really relevant for the present contribution and discusses the reasons for that.