Genetic programming in optimization of Algorithms
Piotr Wąsiewicz , Jan Mulawka
AbstractThe 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.
|Publication size in sheets||0.3|
|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 English||Artificial Intelligence (incl. Robotics), Computation by Abstract Devices, Image Processing and Computer Vision, Mathematical Logic and Formal Languages, Systems and Information Theory in Engineering|
|Publication indicators||= 0; = 5.0|
|Citation count*||5 (2015-08-24)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.