|
|
|
|
| LEADER |
00000nam a22000005i 4500 |
| 001 |
978-3-540-33144-5 |
| 003 |
DE-He213 |
| 005 |
20230406052905.0 |
| 007 |
cr nn 008mamaa |
| 008 |
100301s2006 gw | s |||| 0|eng d |
| 020 |
|
|
|a 9783540331445
|9 978-3-540-33144-5
|
| 024 |
7 |
|
|a 10.1007/11729976
|2 doi
|
| 050 |
|
4 |
|a QA76.758
|
| 072 |
|
7 |
|a UMZ
|2 bicssc
|
| 072 |
|
7 |
|a COM051230
|2 bisacsh
|
| 072 |
|
7 |
|a UMZ
|2 thema
|
| 082 |
0 |
4 |
|a 005.1
|2 23
|
| 245 |
1 |
0 |
|a Genetic Programming
|h [electronic resource] :
|b 9th European Conference, EuroGP 2006, Budapest, Hungary, April 10-12, 2006. Proceedings /
|c edited by Pierre Collet, Marco Tomassini, Marc Ebner, Steven Gustafson, Anikó Ekárt.
|
| 250 |
|
|
|a 1st ed. 2006.
|
| 264 |
|
1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2006.
|
| 300 |
|
|
|a XII, 364 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 Theoretical Computer Science and General Issues,
|x 2512-2029 ;
|v 3905
|
| 505 |
0 |
|
|a 802.11 De-authentication Attack Detection Using Genetic Programming -- 802.11 De-authentication Attack Detection Using Genetic Programming -- A Divide & Conquer Strategy for Improving Efficiency and Probability of Success in Genetic Programming -- A Genetic Programming Approach to Solomonoff's Probabilistic Induction -- A Less Destructive, Context-Aware Crossover Operator for GP -- AQUAGP: Approximate QUery Answers Using Genetic Programming -- Blindbuilder: A New Encoding to Evolve Lego-Like Structures -- Dynamic Scheduling with Genetic Programming -- Emergent Generality of Adapted Locomotion Gaits of Simulated Snake-Like Robot -- Evolving Crossover Operators for Function Optimization -- Genetic Programming, Validation Sets, and Parsimony Pressure -- Geometric Crossover for Biological Sequences -- Incentive Method to Handle Constraints in Evolutionary Algorithms with a Case Study -- Iterative Filter Generation Using Genetic Programming -- Iterative Prototype Optimisation with Evolved Improvement Steps -- Learning Recursive Functions with Object Oriented Genetic Programming -- Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes -- Population Clustering in Genetic Programming -- Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks -- Solving Sudoku with the GAuGE System -- The Halting Probability in Von Neumann Architectures -- Using Subtree Crossover Distance to Investigate Genetic Programming Dynamics -- Posters -- Characterizing Diversity in Genetic Programming -- Complexity and Cartesian Genetic Programming -- Design of Robust Communication Systems Using Genetic Algorithms -- Developmental Evaluation in Genetic Programming: The Preliminary Results -- Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks -- Information-Dependent Switching of Identification Criteria in a Genetic Programming System for System Identification -- Invariance of Function Complexity Under Primitive Recursive Functions -- On the Locality of Grammatical Evolution -- Optimizing the Initialization of Dynamic Decision Heuristics in DPLL SAT Solvers Using Genetic Programming -- P-CAGE: An Environment for Evolutionary Computation in Peer-to-Peer Systems -- Positional Independence and Recombination in Cartesian Genetic Programming.
|
| 650 |
|
0 |
|a Software engineering.
|
| 650 |
|
0 |
|a Computer programming.
|
| 650 |
|
0 |
|a Computer science.
|
| 650 |
|
0 |
|a Algorithms.
|
| 650 |
|
0 |
|a Pattern recognition systems.
|
| 650 |
|
0 |
|a Artificial intelligence.
|
| 650 |
1 |
4 |
|a Software Engineering.
|
| 650 |
2 |
4 |
|a Programming Techniques.
|
| 650 |
2 |
4 |
|a Theory of Computation.
|
| 650 |
2 |
4 |
|a Algorithms.
|
| 650 |
2 |
4 |
|a Automated Pattern Recognition.
|
| 650 |
2 |
4 |
|a Artificial Intelligence.
|
| 700 |
1 |
|
|a Collet, Pierre.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Tomassini, Marco.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Ebner, Marc.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Gustafson, Steven.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Ekárt, Anikó.
|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 9783540822042
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783540331438
|
| 830 |
|
0 |
|a Theoretical Computer Science and General Issues,
|x 2512-2029 ;
|v 3905
|
| 856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/11729976
|z Texto Completo
|
| 912 |
|
|
|a ZDB-2-SCS
|
| 912 |
|
|
|a ZDB-2-SXCS
|
| 912 |
|
|
|a ZDB-2-LNC
|
| 950 |
|
|
|a Computer Science (SpringerNature-11645)
|
| 950 |
|
|
|a Computer Science (R0) (SpringerNature-43710)
|
