Cargando…

Genetic Programming Theory and Practice II

This volume explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The contributions developed from a second workshop at the University of Michigan's Center for the Study of Complex Systems where leading internatio...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: O'Reilly, Una-May (Editor ), Yu, Tina (Editor ), Riolo, Rick (Editor ), Worzel, Bill (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Genetic Programming ; 8
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-0-387-23254-6
003 DE-He213
005 20220118203014.0
007 cr nn 008mamaa
008 100301s2005 xxu| s |||| 0|eng d
020 |a 9780387232546  |9 978-0-387-23254-6 
024 7 |a 10.1007/b101112  |2 doi 
050 4 |a Q334-342 
050 4 |a TA347.A78 
072 7 |a UYQ  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
072 7 |a UYQ  |2 thema 
082 0 4 |a 006.3  |2 23 
245 1 0 |a Genetic Programming Theory and Practice II  |h [electronic resource] /  |c edited by Una-May O'Reilly, Tina Yu, Rick Riolo, Bill Worzel. 
250 |a 1st ed. 2005. 
264 1 |a New York, NY :  |b Springer US :  |b Imprint: Springer,  |c 2005. 
300 |a XVI, 320 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Genetic Programming ;  |v 8 
505 0 |a Genetic Programming: Theory and Practice -- Discovering Financial Technical Trading Rules Using Genetic Programming with Lambda Abstraction -- Using Genetic Programming in Industrial Statistical Model Building -- Population Sizing for Genetic Programming Based on Decision-Making -- Considering the Roles of Structure in Problem Solving by Computer -- Lessons Learned Using Genetic Programming in a Stock Picking Context -- Favourable Biasing of Function Sets Using Run Transferable Libraries -- Toward Automated Design of Industrial-Strength Analog Circuits by Means of Genetic Programming -- Topological Synthesis of Robust Dynamic Systems by Sustainable Genetic Programming -- Does Genetic Programming Inherently Adopt Structured Design Techniques? -- Genetic Programming of an Algorithmic Chemistry -- ACGP: Adaptable Constrained Genetic Programming -- Using Genetic Programming to Search for Supply Chain Reordering Policies -- Cartesian Genetic Programming and the Post Docking Filtering Problem -- Listening to Data: Tuning a Genetic Programming System -- Incident Detection on Highways -- Pareto-Front Exploitation in Symbolic Regression -- An Evolved Antenna for Deployment on Nasa's Space Technology 5 Mission. 
520 |a This volume explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The contributions developed from a second workshop at the University of Michigan's Center for the Study of Complex Systems where leading international genetic programming theorists from major universities and active practitioners from leading industries and businesses met to examine how GP theory informs practice and how GP practice impacts GP theory. Chapters include such topics as financial trading rules, industrial statistical model building, population sizing, the roles of structure in problem solving by computer, stock picking, automated design of industrial-strength analog circuits, topological synthesis of robust systems, algorithmic chemistry, supply chain reordering policies, post docking filtering, an evolved antenna for a NASA mission and incident detection on highways. 
650 0 |a Artificial intelligence. 
650 0 |a Software engineering. 
650 0 |a Computer science. 
650 0 |a Algorithms. 
650 0 |a Computer programming. 
650 1 4 |a Artificial Intelligence. 
650 2 4 |a Software Engineering. 
650 2 4 |a Theory of Computation. 
650 2 4 |a Algorithms. 
650 2 4 |a Programming Techniques. 
700 1 |a O'Reilly, Una-May.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Yu, Tina.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Riolo, Rick.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Worzel, Bill.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9780387502700 
776 0 8 |i Printed edition:  |z 9781441935892 
776 0 8 |i Printed edition:  |z 9780387232539 
830 0 |a Genetic Programming ;  |v 8 
856 4 0 |u https://doi.uam.elogim.com/10.1007/b101112  |z Texto Completo 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710)