Genetic Programming in the Context of Natural Computing

Nonfiction, Computers, Programming
Cover of the book Genetic Programming in the Context of Natural Computing by Hubert Schölnast, GRIN Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Hubert Schölnast ISBN: 9783640594870
Publisher: GRIN Publishing Publication: April 16, 2010
Imprint: GRIN Publishing Language: English
Author: Hubert Schölnast
ISBN: 9783640594870
Publisher: GRIN Publishing
Publication: April 16, 2010
Imprint: GRIN Publishing
Language: English

Bachelor Thesis from the year 2009 in the subject Computer Science - Programming, grade: 1, University of Applied Sciences Technikum Vienna (Informations- und Kommunikationssysteme), language: English, abstract: From the sector 'Natural Computing' (simulation of natural Phenomena, hardware from nature, nature borrowed methods, etc.), the area 'Biological inspired Computing' is selected and described. A systematic literature analysis of this field of research over the past 30 years shows that after a boom in neural networks in the 1990s, in the last five years genetic algorithms, including particularly the methods of genetic programming, came to the foreground. In this heuristic procedure computer programs are optimized in an iterative loop. In the startup phase, programs will be randomly generated. In a frequently recurring cycle, the steps program execution, evaluation of results (determination of fitness); selection and diversification (especially crossover and mutation) are used to 'grow' better programs from generation to generation. This work shows criteria to decide in favor of whether or not to use genetic programming. Proven and experimental methods are presented for all phases of the optimization process, and one will find a short survey on how far these methods correlate to their natural role model. This thesis also refers to common problems such as Bloat. A library of methods collected by the author forms a mixture of a cookbook and a toolbox to be used in Genetic Programming. Finally, this thesis provides some examples where with the help of genetic programming award-winning practical applications have been created, which in many cases have outperformed conventionally obtained results.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Bachelor Thesis from the year 2009 in the subject Computer Science - Programming, grade: 1, University of Applied Sciences Technikum Vienna (Informations- und Kommunikationssysteme), language: English, abstract: From the sector 'Natural Computing' (simulation of natural Phenomena, hardware from nature, nature borrowed methods, etc.), the area 'Biological inspired Computing' is selected and described. A systematic literature analysis of this field of research over the past 30 years shows that after a boom in neural networks in the 1990s, in the last five years genetic algorithms, including particularly the methods of genetic programming, came to the foreground. In this heuristic procedure computer programs are optimized in an iterative loop. In the startup phase, programs will be randomly generated. In a frequently recurring cycle, the steps program execution, evaluation of results (determination of fitness); selection and diversification (especially crossover and mutation) are used to 'grow' better programs from generation to generation. This work shows criteria to decide in favor of whether or not to use genetic programming. Proven and experimental methods are presented for all phases of the optimization process, and one will find a short survey on how far these methods correlate to their natural role model. This thesis also refers to common problems such as Bloat. A library of methods collected by the author forms a mixture of a cookbook and a toolbox to be used in Genetic Programming. Finally, this thesis provides some examples where with the help of genetic programming award-winning practical applications have been created, which in many cases have outperformed conventionally obtained results.

More books from GRIN Publishing

Cover of the book The analysis of scientific disciplines and their development using a Social Network Analysis Tool by Hubert Schölnast
Cover of the book How does Shakespeare utilise the sonnet form to express emotion? Discuss with reference to at least three poems by Hubert Schölnast
Cover of the book Cannibal ante Portas by Hubert Schölnast
Cover of the book 'Madonna On the Couch' by Hubert Schölnast
Cover of the book The Fortune at the Bottom of the Pyramid: Eradicating Poverty through Profits by Hubert Schölnast
Cover of the book The rhetoric of conspiracy - Theories of September 11th by Hubert Schölnast
Cover of the book Zur Einordnung der Kochbücher in die artes-Reihe by Hubert Schölnast
Cover of the book Comparative Perspectives on Imperialism and Empire in Late Imperial Russia by Hubert Schölnast
Cover of the book Estimated MPG and The First Amendment by Hubert Schölnast
Cover of the book User Perception of Targeted Ads in Online Social Networks by Hubert Schölnast
Cover of the book Sahibs with Black Faces? - Installing and Escaping Whiteness in Rudyard Kipling's 'Kim' by Hubert Schölnast
Cover of the book Die mémoire involontaire und andere Formen des Erinnerns in Marcel Prousts 'Auf der Suche nach der verlorenen Zeit' by Hubert Schölnast
Cover of the book Impact of international taxation on FDI location choice by Hubert Schölnast
Cover of the book The Acquisition of Politeness in the Language of Children by Hubert Schölnast
Cover of the book Le Canada de Stephen Harper et les processus d'intégration en Amérique du Nord by Hubert Schölnast
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy