- author = "Tobias Blickle",
- title = "Evolving Compact Solutions in Genetic Programming: A Case Study",
- editor = "Hans-Michael Voigt and Werner Ebeling and Ingo Rechenberg and Hans-Paul Schwefel",
- booktitle = "Parallel Problem Solving From Nature IV. Proceedings of the International Conference on Evolutionary Computation",
- year = "1996",
- publisher = "Springer-Verlag",
- volume = "1141",
- series = "LNCS",
- pages = "564--573",
- address = "Berlin, Germany",
- publisher_address = "Heidelberg, Germany",
- month = "22-26 " # sep,
- keywords = "genetic algorithms, genetic programming, bloat, deleting crossover",
- ISBN = "3-540-61723-X",
-
URL = "
http://www.handshake.de/user/blickle/publications/ppsn1.ps",
-
URL = "
http://citeseer.ist.psu.edu/blickle96evolving.html",
-
DOI = "
doi:10.1007/3-540-61723-X_1020",
- size = "10 pages",
- abstract = "Genetic programming (GP) is a variant of genetic algorithms where the data structures handled are trees. This makes GP especially useful for evolving functional relationships or computer programs, as both can be represented as trees. Symbolic regression is the determination of a function dependence y=g ( x ) that approximates a set of data points ( x i , y i ). In this paper the feasibility of symbolic regression with GP is demonstrated on two examples taken from different domains. Furthermore several suggested methods from literature are compared that are intended to improve GP performance and the readability of solutions by taking into account introns or redundancy that occurs in the trees and keeping the size of the trees small. The experiments show that GP is an elegant and useful tool to derive complex functional dependencies on numerical data.",
-
notes = "http://lautaro.fb10.tu-berlin.de/ppsniv.html
PPSN4
same as \cite{blickle:1996:ecs} Test of effectiveness of GP, EDI, deleting and adaptive anti-bloat techniques. Results differ continuous (symbolic regression) v. discrete 6-mux deleting crossover similar to code editing based on code interpretation during fitness evaluation.",
- affiliation = "Swiss Federal Institute of Technology (ETH) Computer Engineering and Communication Networks Lab (TIK) Gloriastrasse 35 8092 Zurich Switzerland Gloriastrasse 35 8092 Zurich Switzerland",
