Maximum Homologous Crossover for Linear Genetic Programming-Reference-Cited by-同舟云学术

Maximum Homologous Crossover for Linear Genetic Programming

Published:2003 Issue: Volume: Page:194-203
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Defoin Platel Michael,Clergue Manuel,Collard Philippe

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-36599-0_18

Reference17 articles.

1. Lee Altenberg. The evolution of evolvability in genetic programming. In Advances in Genetic Programming. MIT Press, 1994.

2. P. J. Angeline. Subtree crossover: Building block engine or macromutation ? In Genetic Programming 1997: Proceedings of the Second Annual Conference. Morgan Kaufmann, July 1997.

3. Markus Brameier and Wolfgang Banzhaf. A comparison of linear genetic programming and neural networks in medical data mining. IEEE Transactions on Evolutionary Computation, 5(1):17–26, 2001.

4. Markus Brameier and Wolfgang Bhanzhaf. Explicit control of diversity and effective variation distance in linear genetic programming, 2001.

5. Manuel Clergue, Philippe Collard, Marco Tomassini, and Leonardo Vanneschi. Fitness distance correlation and problem difficulty for genetic programming. In GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pages 724–732, New York, 9–13 July 2002. Morgan Kaufmann Publishers.

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evolutionary Classification;Handbook of Evolutionary Machine Learning;2023-11-02

2. Comparison of Parallel Linear Genetic Programming Implementations;Recent Advances in Soft Computing;2017

3. Evolutionary Design of Fast High-quality Hash Functions for Network Applications;Proceedings of the Genetic and Evolutionary Computation Conference 2016;2016-07-20

4. Prudent alignment and crossover of decision trees in genetic programming;Genetic Programming and Evolvable Machines;2015-02-28

5. The Effects of Recombination on Phenotypic Exploration and Robustness in Evolution;Artificial Life;2014-10