The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Gene Expression Programming and the Evolution of Computer Programs
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 summarized 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.
Related Content
|
David Edson Ribeiro, Valter Augusto de Freitas Barbosa, Clarisse Lins de Lima, Ricardo Emmanuel de Souza, Wellington Pinheiro dos Santos.
© 2021.
15 pages.
|
|
Juliana Carneiro Gomes, Maíra Araújo de Santana, Clarisse Lins de Lima, Ricardo Emmanuel de Souza, Wellington Pinheiro dos Santos.
© 2021.
12 pages.
|
|
Maíra Araújo de Santana, Jessiane Mônica Silva Pereira, Clarisse Lins de Lima, Maria Beatriz Jacinto de Almeida, José Filipe Silva de Andrade, Thifany Ketuli Silva de Souza, Rita de Cássia Fernandes de Lima, Wellington Pinheiro dos Santos.
© 2021.
19 pages.
|
|
Jessiane Mônica Silva Pereira, Maíra Araújo de Santana, Clarisse Lins de Lima, Rita de Cássia Fernandes de Lima, Sidney Marlon Lopes de Lima, Wellington Pinheiro dos Santos.
© 2021.
25 pages.
|
|
Adriel dos Santos Araujo, Roger Resmini, Maira Beatriz Hernandez Moran, Milena Henriques de Sousa Issa, Aura Conci.
© 2021.
35 pages.
|
|
Abir Baâzaoui, Walid Barhoumi.
© 2021.
21 pages.
|
|
Marcus Costa de Araújo, Luciete Alves Bezerra, Kamila Fernanda Ferreira da Cunha Queiroz, Nadja A. Espíndola, Ladjane Coelho dos Santos, Francisco George S. Santos, Rita de Cássia Fernandes de Lima.
© 2021.
44 pages.
|
|
|