Genetic programming in optimization of Algorithms

Piotr Wąsiewicz , Jan Mulawka

Abstract

The problem of improving the efficiency of Genetic Algorithms to search global optimum is considered. An approach based on applying Genetic Programming methodology to find the best structure of Genetic Algorithms for global optimization is described. It allows to obtain better results in comparison with standard Genetic Algorithms.
Author Piotr Wąsiewicz (FEIT / IN)
Piotr Wąsiewicz,,
- The Institute of Computer Science
, Jan Mulawka (FEIT / PE)
Jan Mulawka,,
- The Institute of Electronic Systems
Pages581-582
Publication size in sheets0.3
Book Reusch Bernd (eds.): Computational Intelligence Theory and Applications, Lecture Notes In Computer Science, no. 1226, 1997, Springer Berlin Heidelberg, ISBN 978-3-540-62868-2, 978-3-540-69031-3
Keywords in EnglishArtificial Intelligence (incl. Robotics), Computation by Abstract Devices, Image Processing and Computer Vision, Mathematical Logic and Formal Languages, Systems and Information Theory in Engineering
URL http://link.springer.com/chapter/10.1007/3-540-62868-1_171
Languageen angielski
Score (nominal)3
Publication indicators WoS Citations = 0; GS Citations = 5.0
Citation count*5 (2015-08-24)
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