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04549nam a22006135i 4500 |
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100301s2006 gw | s |||| 0|eng d |
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|a 9783540331445
|9 978-3-540-33144-5
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|a 10.1007/11729976
|2 doi
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|a QA76.758
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|a UMZ
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|a UL
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|a COM051230
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|a 005.1
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|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.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2006.
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|a XII, 364 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 3905
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|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.
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|a Computer science.
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|a Software engineering.
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|a Computer programming.
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|a Computers.
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|a Algorithms.
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|a Artificial intelligence.
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|a Pattern recognition.
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|a Computer Science.
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|a Software Engineering/Programming and Operating Systems.
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|a Programming Techniques.
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|a Computation by Abstract Devices.
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|a Algorithm Analysis and Problem Complexity.
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|a Pattern Recognition.
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|a Artificial Intelligence (incl. Robotics).
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|a Collet, Pierre.
|e editor.
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|a Tomassini, Marco.
|e editor.
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700 |
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|a Ebner, Marc.
|e editor.
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700 |
1 |
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|a Gustafson, Steven.
|e editor.
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700 |
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|a Ekárt, Anikó.
|e editor.
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710 |
2 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783540331438
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830 |
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 3905
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856 |
4 |
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|u http://dx.doi.org/10.1007/11729976
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SCS
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912 |
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|a ZDB-2-LNC
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950 |
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|a Computer Science (Springer-11645)
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