- author = "Candida Ferreira",
- title = "Gene expression programming and the automatic evolution of computer programs",
- booktitle = "Recent Developments in Biologically Inspired Computing",
- publisher = "Idea Group Publishing",
- year = "2004",
- editor = "Leandro N. {de Castro} and Fernando J. {Von Zuben}",
- chapter = "6",
- pages = "82--103",
- keywords = "genetic algorithms, genetic programming, Gene Expression Programming",
- ISBN = "1-59140-312-X",
-
URL = "
http://www.gene-expression-programming.com/gep/webpapers/abstracts.asp#11",
-
DOI = "
doi:10.4018/978-1-59140-312-8.ch005",
- abstract = "In this chapter an artificial problem solver inspired in natural genotype/phenotype systems gene expression programming is presented. As an introduction, the fundamental differences between gene expression programming and its predecessors, genetic algorithms and genetic programming, are briefly summarised so that the evolutionary advantages of gene expression programming are better understood. The work proceeds with a detailed description of the architecture of the main players of this new algorithm (chromosomes and expression trees), focusing mainly on the interactions between them and how the simple yet revolutionary structure of the chromosomes allows the efficient, unconstrained exploration of the search space. And finally, the chapter closes with an advanced application in which gene expression programming is used to evolve computer programs for diagnosing breast cancer.",
-
notes = "broken August 2020
http://www.idea-group.com/books/details.asp?id=4376
http://groups.yahoo.com/group/genetic_programming/message/3551 http://groups.yahoo.com/group/genetic_programming/message/3549",
