Genetic Programming: 5th European Conference, EuroGP 2002, Kinsale, Ireland, April 3-5, 2002. Proceedings: Lecture Notes in Computer Science, cartea 2278
Editat de James A. Foster, Evelyne Lutton, Julian F. Miller, Conor Ryan, Andra G.B. Tezzamanzien Limba Engleză Paperback – 20 mar 2002
Din seria Lecture Notes in Computer Science
- 20% Preț: 741.34 lei
- 20% Preț: 340.22 lei
- 20% Preț: 343.43 lei
- 20% Preț: 315.18 lei
- 20% Preț: 327.41 lei
- 20% Preț: 1031.06 lei
- 20% Preț: 438.67 lei
- 20% Preț: 315.76 lei
- 20% Preț: 330.61 lei
- 20% Preț: 148.66 lei
- 20% Preț: 122.89 lei
- 20% Preț: 995.03 lei
- 20% Preț: 562.71 lei
- 20% Preț: 237.99 lei
- 20% Preț: 504.57 lei
- 20% Preț: 332.20 lei
- 15% Preț: 563.85 lei
- 20% Preț: 636.26 lei
- 5% Preț: 365.59 lei
- 20% Preț: 321.95 lei
- 20% Preț: 310.26 lei
- 20% Preț: 607.38 lei
- Preț: 370.38 lei
- 20% Preț: 172.68 lei
- 20% Preț: 315.76 lei
- 20% Preț: 662.78 lei
- 20% Preț: 256.26 lei
- 20% Preț: 440.36 lei
- 20% Preț: 626.79 lei
- 20% Preț: 566.70 lei
- 17% Preț: 360.19 lei
- 20% Preț: 309.90 lei
- 20% Preț: 579.38 lei
- 20% Preț: 301.94 lei
- 20% Preț: 307.71 lei
- 20% Preț: 369.12 lei
- 20% Preț: 330.61 lei
- 20% Preț: 1044.38 lei
- 20% Preț: 574.58 lei
- Preț: 399.17 lei
- 20% Preț: 802.24 lei
- 20% Preț: 569.11 lei
- 20% Preț: 1374.12 lei
- 20% Preț: 333.84 lei
- 20% Preț: 538.29 lei
- 20% Preț: 326.97 lei
Preț: 326.13 lei
Preț vechi: 407.66 lei
-20% Nou
Puncte Express: 489
Preț estimativ în valută:
62.42€ • 65.06$ • 51.96£
62.42€ • 65.06$ • 51.96£
Carte tipărită la comandă
Livrare economică 06-20 ianuarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783540433781
ISBN-10: 3540433783
Pagini: 356
Ilustrații: XII, 340 p.
Dimensiuni: 155 x 233 x 19 mm
Greutate: 0.51 kg
Ediția:2002
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540433783
Pagini: 356
Ilustrații: XII, 340 p.
Dimensiuni: 155 x 233 x 19 mm
Greutate: 0.51 kg
Ediția:2002
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Talks.- A Pipelined Hardware Implementation of Genetic Programming Using FPGAs and Handel-C.- Finding Needles in Haystacks Is Not Hard with Neutrality.- Routine Duplication of Post-2000 Patented Inventions by Means of Genetic Programming.- Explicit Control of Diversity and Effective Variation Distance in Linear Genetic Programming.- Discovery of the Boolean Functions to the Best Density-Classification Rules Using Gene Expression Programming.- Combining Decision Trees and Neural Networks for Drug Discovery.- Evolving Fuzzy Decision Trees with Genetic Programming and Clustering.- Linear-Graph GP - A New GP Structure.- Parallel Surface Reconstruction.- Evolving Classifiers to Model the Relationship between Strategy and Corporate Performance Using Grammatical Evolution.- A New View on Symbolic Regression.- Grammatical Evolution Rules: The Mod and the Bucket Rule.- No Coercion and No Prohibition, a Position Independent Encoding Scheme for Evolutionary Algorithms – The Chorus System.- Exons and Code Growth in Genetic Programming.- Uniform Subtree Mutation.- Maintaining the Diversity of Genetic Programs.- N-Version Genetic Programming via Fault Masking.- An Analysis of Koza’s Computational Effort Statistic for Genetic Programming.- Posters.- Genetic Control Applied to Asset Managements.- Evolutionary Algorithm Approach to Bilateral Negotiations.- Allele Diffusion in Linear Genetic Programming and Variable-Length Genetic Algorithms with Subtree Crossover.- Some Experimental Results with Tree Adjunct Grammar Guided Genetic Programming.- A Puzzle to Challenge Genetic Programming.- Transformation of Equational Specification by Means of Genetic Programming.- Automatic Generation of Control Programs for Walking Robots Using Genetic Programming.- An Investigation into the Use ofDifferent Search Strategies with Grammatical Evolution.- Genetic Algorithms Using Grammatical Evolution.- A Brute-Force Approac to Automatic Induction of Machine Code on CISC Architectures.- Deriving Genetic Programming Fitness Properties by Static Analysis.- New Results on Fuzzy Regression by Using Genetic Programming.- Coevolution Produces an Arms Race among Virtual Plants.- Comparing Synchronous and Asynchronous Parallel and Distributed Genetic Programming Models.
Caracteristici
Includes supplementary material: sn.pub/extras