- author = "Marc Ebner",
- title = "On the Search Space of Genetic Programming and Its Relation to Nature's Search Space",
- booktitle = "Proceedings of the Congress on Evolutionary Computation",
- year = "1999",
- editor = "Peter J. Angeline and Zbyszek Michalewicz and Marc Schoenauer and Xin Yao and Ali Zalzala",
- volume = "2",
- pages = "1357--1361",
- address = "Mayflower Hotel, Washington D.C., USA",
- publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
- month = "6-9 " # jul,
- organisation = "Congress on Evolutionary Computation, IEEE / Neural Networks Council, Evolutionary Programming Society, Galesia, IEE",
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming, models of evolutionary computation, fixed size bit strings, identity function, introns, nature, neutral mutations, phenotypical behaviour, quantitative analysis, search space, sequence space, variable length structures, combinatorial mathematics, reachability analysis, search problems",
- ISBN = "0-7803-5536-9 (softbound)",
- ISBN = "0-7803-5537-7 (Microfiche)",
-
URL = "
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.473.2984",
-
URL = "
http://stubber.math-inf.uni-greifswald.de/~ebner/resources/uniTu/gpfitness.pdf",
-
DOI = "
10.1109/CEC.1999.782609",
- size = "5 pages",
- abstract = "The size of the search space has been analysed for genetic programming and genetic algorithms. It is highly unlikely to find any single individual in this huge search space. However, genetic programming with variable length structures differs from standard genetic algorithms where fixed size bit strings are used in that usually many different individuals show the same pheno-typical behaviour due to introns. Therefore, finding any given behaviour is not as difficult as the size of the search space suggests. A quantitative analysis is presented for the number of individuals that code for the identity function. The identity function is important in the analysis of the search space because it can be used to construct individuals showing the same behavior as any given individual. Finally, an analogy is drawn to nature's sequence space which suggests possible directions for future research. The representation should be chosen such that all possible behaviours are reachable within a comparatively small number of steps from any given behaviour and the individuals coding for any given behaviour should be distributed randomly in the search space. In addition, long paths of neutral mutations should lead to individuals which code for the same behaviour",
-
notes = "CEC-99 - A joint meeting of the IEEE, Evolutionary
Programming Society, Galesia, and the IEE.
Library of Congress Number = 99-61143",
