Alternate document:   Details   Evolving Evolutionary Algorithms for Function Optimization (03) Mihai Oltean

See this document in CiteSeerX!

Evolving Evolutionary Algorithms Using Multi Expression Programming (2003)  (Make Corrections)  (8 citations)
Mihai Oltean, Crina Grosan



  Home/Search   Context   Related

 
View or download:
mep.cs.ubbcluj.ro/...ltean_ecal2003.pdf
Cached:  PS.gz  PS  PDF   Image  Update  Help

From:  mep.cs.ubbcluj.ro/papers (more)
(Enter author homepages)

Rate this article: (best)
  Comment on this article  
(Enter summary)

Abstract: Finding the optimal parameter setting (i.e. the optimal population size, the optimal mutation probability, the optimal evolutionary model etc) for an Evolutionary Algorithm (EA) is a di#cult task. Instead of evolving only the parameters of the algorithm we will evolve an entire EA capable of solving a particular problem. For this purpose the Multi Expression Programming (MEP) technique is used. Each MEP chromosome will encode multiple EAs. An nongenerational EA for function optimization... (Update)

Cited by:   More
Evolving Evolutionary Algorithms Using Linear Genetic Programming - Oltean (2005)   (Correct)
Evolutionary Design of Intrusion Detection Programs - Abraham, Grosan, Martin-Vide (2006)   (Correct)
Ensemble of Genetic Programming Models for Designing Reactive .. - Grosan, Abraham (2005)   (Correct)

Active bibliography (related documents):   More   All
0.4:   Evolving Evolutionary Algorithms - Using Multi Expression (2003)   (Correct)
0.3:   Genetic Chromodynamics For Obtaining Continuous.. - Dumitrescu, Grosan.. (2001)   (Correct)
0.0:   Searching for a Practical Evidence of the No Free Lunch Theorems - Oltean (2004)   (Correct)

Similar documents based on text:   More   All
0.8:   Solving Classification Problems Using Infix Form Genetic.. - Oltean, Grosan (2003)   (Correct)
0.6:   Multiobjective Optimization Using Adaptive Pareto.. - Babes-Bolyai..   (Correct)
0.5:   Multi Expression Programming - Mihai Oltean Department   (Correct)

Related documents from co-citation:   More   All
5:   A Comparison of Several Linear GP Techniques (context) - Oltean, Grosan - 2004
4:   Explicit control of diversity and e#ective variation distance in Linear Genetic .. - Brameier, Banzhaf - 2001
4:   The Nature of Statistical Learning Theory (context) - Vapnik - 1995

BibTeX entry:   (Update)

M. Oltean and C. Groan, "Evolving Evolutionary Algorithms using Multi Expression Programming", European Conference on Artificial Life, Dortmund, 14-17 September 2003, Accepted for publication. http://citeseer.ist.psu.edu/oltean03evolving.html   More

@misc{ oltean03evolving,
  author = "M. Oltean and C. Groan",
  title = "Evolving Evolutionary Algorithms using Multi Expression Programming",
  text = "M. Oltean and C. Groan, Evolving Evolutionary Algorithms using Multi Expression
    Programming, European Conference on Artificial Life, Dortmund, 14-17 September
    2003, Accepted for publication.",
  year = "2003",
  url = "citeseer.ist.psu.edu/oltean03evolving.html" }
Citations (may not include all citations):
2138   Genetic Algorithms in Search (context) - Goldberg - 1989
1931   Adaptation in Natural and Artificial Systems (context) - Holland - 1975
1053   Genetic Programming: On the Programming of Computers by Mean.. (context) - Koza - 1992
275   Uniform crossover in genetic algorithms (context) - Syswerda - 1989
125   No Free Lunch Theorems for Search - Wolpert, McReady - 1995
24   A Comparison of Linear Genetic Programming and Neural Networ.. - Brameier, Banzhaf - 2001
15   IEEE Transaction on Evolutionary Computation (context) - Yao, Liu et al. - 1999
3   Babes-Bolyai University (context) - Oltean, Dumitrescu et al.



The graph only includes citing articles where the year of publication is known.


Documents on the same site (http://www.mep.cs.ubbcluj.ro/papers.htm):
Multi Expression Programming - Mihai Oltean Department   (Correct)

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC