Cargando…

Genetic Programming Theory and Practice IV

Genetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan's Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from th...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Riolo, Rick (Editor ), Soule, Terence (Editor ), Worzel, Bill (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Genetic and Evolutionary Computation,
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-0-387-49650-4
003 DE-He213
005 20220113132731.0
007 cr nn 008mamaa
008 100301s2007 xxu| s |||| 0|eng d
020 |a 9780387496504  |9 978-0-387-49650-4 
024 7 |a 10.1007/978-0-387-49650-4  |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 IV  |h [electronic resource] /  |c edited by Rick Riolo, Terence Soule, Bill Worzel. 
250 |a 1st ed. 2007. 
264 1 |a New York, NY :  |b Springer US :  |b Imprint: Springer,  |c 2007. 
300 |a XVI, 338 p. 200 illus.  |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 and Evolutionary Computation,  |x 1932-0175 
505 0 |a Genetic Programming: Theory and Practice -- Genome-Wide Genetic Analysis Using Genetic Programming: The Critical Need for Expert Knowledge -- Lifting the Curse of Dimensionality -- Genetic Programming for Classifying Cancer Data and Controlling Humanoid Robots -- Boosting Improves Stability and Accuracy of Genetic Programming in Biological Sequence Classification -- Orthogonal Evolution of Teams: A Class of Algorithms for Evolving Teams with Inversely Correlated Errors -- Multidimensional Tags, Cooperative Populations, and Genetic Programming -- Coevolving Fitness Models for Accelerating Evolution and Reducing Evaluations -- Multi-Domain Observations Concerning the Use of Genetic Programming to Automatically Synthesize Human-Competitive Designs for Analog Circuits, Optical Lens Systems, Controllers, Antennas, Mechanical Systems, and Quantum Computing Circuits -- Robust Pareto Front Genetic Programming Parameter Selection Based on Design of Experiments and Industrial Data -- Pursuing the Pareto Paradigm: Tournaments, Algorithm Variations and Ordinal Optimization -- Applying Genetic Programming to Reservoir History Matching Problem -- Comparison of Robustness of Three Filter Design Strategies Using Genetic Programming and Bond Graphs -- Design of Posynomial Models for Mosfets: Symbolic Regression Using Genetic Algorithms -- Phase Transitions in Genetic Programming Search -- Efficient Markov Chain Model of Machine Code Program Execution and Halting -- A Re-Examination of a Real World Blood Flow Modeling Problem Using Context-Aware Crossover -- Large-Scale, Time-Constrained Symbolic Regression -- Stock Selection: An Innovative Application of Genetic Programming Methodology. 
520 |a Genetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan's Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. This valuable reference discusses the hurdles faced in solving large-scale, cutting edge applications, describes promising techniques, including fitness approximation, Pareto optimization, cooperative teams, solution caching, and experiment control, and investigates evolutionary approaches such as financial modeling, bioinformatics, symbolic regression for system modeling, and evolutionary design of circuits and robot controllers. Genetic Programming Theory and Practice IV represents a watershed moment in the GP field in that GP has begun to move from hand-crafted software used primarily in academic research, to an engineering methodology applied to commercial applications. It is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence. 
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 Riolo, Rick.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Soule, Terence.  |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 9780387513225 
776 0 8 |i Printed edition:  |z 9781441941237 
776 0 8 |i Printed edition:  |z 9780387333755 
830 0 |a Genetic and Evolutionary Computation,  |x 1932-0175 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-0-387-49650-4  |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)