Statistical Distribution of Generation-to-Success in GP: Application to Model Accumulated Success Probability-Reference-Cited by-同舟云学术

Statistical Distribution of Generation-to-Success in GP: Application to Model Accumulated Success Probability

Published:2011 Issue: Volume: Page:154-165
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Barrero David F.,Castaño Bonifacio,R-Moreno María D.,Camacho David

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-20407-4_14

Reference15 articles.

1. Eiben, A.E., Smith, J.E.: Working with Evolutionary Algorithms. In: Introduction to Evolutionary Computing, pp. 241–258. Springer, Heidelberg (2009)

2. Bartz-Beielstein, T.: Tuning evolutionary algorithms: overview and comprenhensive introduction. Technical Report 148/03, University at Dortmund (2003)

3. Luke, S., Panait, L.: Is the perfect the enemy of the good? In: Genetic and Evolutionary Computation Conference, pp. 820–828. Morgan Kaufmann, San Francisco (2002)

4. Koza, J.: Genetic Programming: On the programming of Computers by Means of Natural Selection. MIT Press, Cambrige (1992)

5. Walker, M., Edwards, H., Messom, C.H.: Success effort and other statistics for performance comparisons in genetic programming. In: IEEE Congress on Evolutionary Computation, pp. 4631–4638. IEEE, Singapore (2007)

Cited by 3 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. Prediction in evolutionary systems;Biology & Philosophy;2016-10-22

2. Improving experimental methods on success rates in evolutionary computation;Journal of Experimental & Theoretical Artificial Intelligence;2016-08-03

3. Stochastic Convergence Analysis of Metaheuristic Optimisation Techniques;Towards Advanced Data Analysis by Combining Soft Computing and Statistics;2013