By Ivan Zelinka, Sergej Celikovský, Hendrik Richter, Guanrong Chen
This ebook discusses the mutual intersection of 2 fascinating fields of study, i.e. deterministic chaos and evolutionary computation. Evolutionary computation that are capable of deal with initiatives equivalent to keep an eye on of varied chaotic structures and synthesis in their constitution are explored, whereas deterministic chaos is investigated as a behavioral a part of evolutionary algorithms.
This booklet is focused for a couple of audiences. to start with, it is going to be an educational fabric for senior undergraduate and entry-point graduate scholars in machine technological know-how, physics, utilized arithmetic, and engineering, who're operating within the quarter of deterministic chaos and evolutionary algorithms. Secondly, researchers who wish to know the way to use evolutionary innovations on chaos regulate in addition to researchers drawn to the emergence of chaos in evolutionary algorithms will locate this e-book a truly great tool and start line. and at last, this ebook could be seen as a source guide and fabric for practitioners who are looking to follow those equipment that resolve sensible difficulties to their demanding applications.
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Additional info for Evolutionary Algorithms and Chaotic Systems
The algorithms used for these experiments were written in C++ and integrated with the existing Langmuir probe control software. The plasma system used was a standard GEC reference cell. 1 Motivation for Application of Evolutionary Computation to Chaotic Systems 23 Fig. 22 Experimental set-up: computer with control software (right), wave synthesizer (bottom left), and oscilloscope (top left) Fig. 6 Experimental Results Each algorithm was applied 20 times in total. , an algorithm was applied once followed by the other two algorithms before the ﬁrst one was applied again.
23 show the experimental set-up. Three different optimization algorithms were used for the automated waveform tuning experiments. A digital oscilloscope was used to measure the actual waveforms found by the three algorithms. The control software ran on a PC under the Linux operating system. The algorithms used for these experiments were written in C++ and integrated with the existing Langmuir probe control software. The plasma system used was a standard GEC reference cell. 1 Motivation for Application of Evolutionary Computation to Chaotic Systems 23 Fig.
589–598. Springer, Heidelberg (2001) 44. : Automated control of an actively compensated Langmuir probe system using simulated annealing. Knowl. Base Syst. 15(5-6), 349–354 (2002) 45. : Evolutionary games and spatial chaos. Nature 359, 826–829 46. : Comparison of an self-organizing migration algorithm with simulated annealing and differential evolution for automated waveform tuning. Adv. Eng. Software 36(10), 645–653 (2005) 1 Motivation for Application of Evolutionary Computation to Chaotic Systems 35 47.