000 | 03800nam a22005175i 4500 | ||
---|---|---|---|
001 | 978-3-540-48885-9 | ||
003 | DE-He213 | ||
005 | 20160624102038.0 | ||
007 | cr nn 008mamaa | ||
008 | 121227s1999 gw | s |||| 0|eng d | ||
020 |
_a9783540488859 _9978-3-540-48885-9 |
||
024 | 7 |
_a10.1007/3-540-48885-5 _2doi |
|
050 | 4 | _aQA76.6-76.66 | |
072 | 7 |
_aUM _2bicssc |
|
072 | 7 |
_aCOM051000 _2bisacsh |
|
082 | 0 | 4 |
_a005.11 _223 |
245 | 1 | 0 |
_aGenetic Programming _h[electronic resource] : _bSecond European Workshop, EuroGP’99 Göteborg, Sweden, May 26–27, 1999 Proceedings / _cedited by Riccardo Poli, Peter Nordin, William B. Langdon, Terence C. Fogarty. |
260 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c1999. |
|
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c1999. |
|
300 |
_aX, 290 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v1598 |
|
505 | 0 | _aRepresentations -- Boolean Functions Fitness Spaces -- Meta-Evolution in Graph GP -- Busy Beaver - The Influence of Representation -- Algorithms and Operators -- Mutation in Genetic Programming: A Preliminary Study -- A Comparison of Darwinian and Lamarckian Inheritance Schemes -- Sub-machine-code GP: New Results and Extensions -- Evolving Multi-line Compilable C Programs -- Applications -- Genetic Programming as a Darwinian Invention Machine -- Genetic Programming of a Goal-Keeper Control Strategy for the RoboCup Middle Size Competition -- Genetic Programming Discovers Efficient Learning Rules for the Hidden and Output Layers of Feedforward Neural Networks -- Evolution of Ship Detectors for Satellite SAR Imagery -- Automatic Generation of Affine IFS and Strongly Typed Genetic Programming -- Posters -- Reactive and Memory-Based Genetic Programming for Robot Control -- Distributed and Persistent Evolutionary Algorithms: A Design Pattern -- Evolving an Environment Model for Robot Localization -- Adapting the Fitness Function in GP for Data Mining -- Evolving Fuzzy Rule Based Classifiers with GA-P: A Grammatical Approach -- Evolving Neural Network Structures by Means of Genetic Programming -- Genetic Reasoning: Evolutionary Induction of Mathematical Proofs -- How to Invent Functions -- Automatic Parallelization of Arbitrary Programs -- Evolving Controllers for Autonomous Agents Using Genetically Programmed Networks -- Concurrent Genetic Programming, Tartarus and Dancing Agents. | |
520 | _aThis book constitutes the refereed proceedings of the Second European Workshop on Genetic Programming, EuroPG '99, held in Göteborg, Sweden in May 1999. The 12 revised full papers and 11 posters presented have been carefully reviewed and selected for inclusion in the book. All the relevant aspects of genetic programming are addressed ranging from traditional and foundational issues to applications in a variety of fields. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aOptical pattern recognition. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aProgramming Techniques. |
650 | 2 | 4 | _aComputation by Abstract Devices. |
650 | 2 | 4 | _aPattern Recognition. |
700 | 1 |
_aPoli, Riccardo. _eeditor. |
|
700 | 1 |
_aNordin, Peter. _eeditor. |
|
700 | 1 |
_aLangdon, William B. _eeditor. |
|
700 | 1 |
_aFogarty, Terence C. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540658993 |
786 | _dSpringer | ||
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v1598 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/3-540-48885-5 |
942 |
_2EBK6603 _cEBK |
||
999 |
_c35897 _d35897 |