000 | 04669nam a22005895i 4500 | ||
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001 | 978-3-540-71605-1 | ||
003 | DE-He213 | ||
005 | 20160624102105.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2007 gw | s |||| 0|eng d | ||
020 |
_a9783540716051 _9978-3-540-71605-1 |
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024 | 7 |
_a10.1007/978-3-540-71605-1 _2doi |
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050 | 4 | _aQA76.6-76.66 | |
072 | 7 |
_aUM _2bicssc |
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072 | 7 |
_aCOM051000 _2bisacsh |
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082 | 0 | 4 |
_a005.11 _223 |
245 | 1 | 0 |
_aGenetic Programming _h[electronic resource] : _b10th European Conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007. Proceedings / _cedited by Marc Ebner, Michael O’Neill, Anikó Ekárt, Leonardo Vanneschi, Anna Isabel Esparcia-Alcázar. |
260 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2007. |
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264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2007. |
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300 |
_aXI, 382 p. Also available online. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v4445 |
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505 | 0 | _aPlenary Talks -- A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms -- An Empirical Boosting Scheme for ROC-Based Genetic Programming Classifiers -- Confidence Intervals for Computational Effort Comparisons -- Crossover Bias in Genetic Programming -- Density Estimation with Genetic Programming for Inverse Problem Solving -- Empirical Analysis of GP Tree-Fragments -- Empirical Comparison of Evolutionary Representations of the Inverse Problem for Iterated Function Systems -- Evolution of an Efficient Search Algorithm for the Mate-In-N Problem in Chess -- Fast Genetic Programming on GPUs -- FIFTHTM: A Stack Based GP Language for Vector Processing -- Genetic Programming with Fitness Based on Model Checking -- Geometric Particle Swarm Optimisation -- GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions -- Layered Learning in Boolean GP Problems -- Mining Distributed Evolving Data Streams Using Fractal GP Ensembles -- Multi-objective Genetic Programming for Improving the Performance of TCP -- On Population Size and Neutrality: Facilitating the Evolution of Evolvability -- On the Limiting Distribution of Program Sizes in Tree-Based Genetic Programming -- Predicting Prime Numbers Using Cartesian Genetic Programming -- Real-Time, Non-intrusive Evaluation of VoIP -- Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach -- Posters -- A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds -- Analysing the Regularity of Genomes Using Compression and Expression Simplification -- Changing the Genospace: Solving GA Problems with Cartesian Genetic Programming -- Code Regulation in Open Ended Evolution -- Data Mining of Genetic Programming Run Logs -- Evolving a Statistics Class Using Object Oriented Evolutionary Programming -- Evolving Modular Recursive Sorting Algorithms -- Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP -- Genetic Programming Heuristics for Multiple Machine Scheduling -- Group-Foraging with Particle Swarms and Genetic Programming -- Multiple Interactive Outputs in a Single Tree: An Empirical Investigation -- Parsimony Doesn’t Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data -- The Holland Broadcast Language and the Modeling of Biochemical Networks -- The Induction of Finite Transducers Using Genetic Programming. | |
650 | 0 | _aComputer science. | |
650 | 0 | _aComputer software. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aOptical pattern recognition. | |
650 | 0 | _aBioinformatics. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aProgramming Techniques. |
650 | 2 | 4 | _aComputation by Abstract Devices. |
650 | 2 | 4 | _aAlgorithm Analysis and Problem Complexity. |
650 | 2 | 4 | _aPattern Recognition. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aComputational Biology/Bioinformatics. |
700 | 1 |
_aEbner, Marc. _eeditor. |
|
700 | 1 |
_aO’Neill, Michael. _eeditor. |
|
700 | 1 |
_aEkárt, Anikó. _eeditor. |
|
700 | 1 |
_aVanneschi, Leonardo. _eeditor. |
|
700 | 1 |
_aEsparcia-Alcázar, Anna Isabel. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540716020 |
786 | _dSpringer | ||
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v4445 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-540-71605-1 |
942 |
_2EBK7534 _cEBK |
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999 |
_c36828 _d36828 |