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_a10.1007/b75085 _2doi |
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_aGenetic Programming _h[electronic resource] : _bEuropean Conference, EuroGP 2000 Edinburgh, Scotland, UK, April 15-16, 2000 Proceedings / _cedited by Riccardo Poli, Wolfgang Banzhaf, William B. Langdon, Julian F. Miller, Peter Nordin, Terence C. Fogarty. |
250 | _a1st ed. 2000. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2000. |
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300 |
_aX, 361 p. _bonline resource. |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v1802 |
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505 | 0 | _aTalks -- On the Impact of the Representation on Fitness Landscapes -- The Legion System: A Novel Approach to Evolving Heterogeneity for Collective Problem Solving -- Metric Based Evolutionary Algorithms -- Register Based Genetic Programming on FPGA Computing Platforms -- An Extrinsic Function-Level Evolvable Hardware Approach -- Genetic Programming, Ensemble Methods and the Bias/Variance Tradeoff – Introductory Investigations -- Evolution of a Controller with a Free Variable Using Genetic Programming -- Genetic Programming for Service Creation in Intelligent Networks -- Cartesian Genetic Programming -- Some Probabilistic Modelling Ideas for Boolean Classification in Genetic Programming -- Crossover in Grammatical Evolution: A Smooth Operator? -- Hyperschema Theory for GP with One-Point Crossover, Building Blocks, and Some New Results in GA Theory -- Use of Genetic Programming in the Identification of Rational Model Structures -- Grammatical Retina Description with Enhanced Methods -- Posters -- Intraspecific Evolution of Learning by Genetic Programming -- An Evolutionary Approach to Multiperiod Asset Allocation -- Acquiring Textual Relations Automatically on the Web Using Genetic Programming -- Application of Genetic Programming to Induction of Linear Classification Trees -- A Metric for Genetic Programs and Fitness Sharing -- Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters -- Experimental Study of Multipopulation Parallel Genetic Programming -- Genetic Programming and Simulated Annealing: A Hybrid Method to Evolve Decision Trees -- Seeding Genetic Programming Populations -- Distributed Java Bytecode Genetic Programming with Telecom Applications -- Fighting Program Bloat with the Fractal Complexity Measure -- Paragen – The First Results -- Multi-robotCooperation and Competition with Genetic Programming. | |
520 | _aThis volume contains the proceedings of EuroGP 2000, the European Conf- ence on Genetic Programming, held in Edinburgh on the 15th and 16th April 2000. This event was the third in a series which started with the two European workshops: EuroGP’98, held in Paris in April 1998, and EuroGP’99, held in Gothenburg in May 1999. EuroGP 2000 was held in conjunction with EvoWo- shops 2000 (17th April) and ICES 2000 (17th-19th April). Genetic Programming (GP) is a growing branch of Evolutionary Compu- tion in which the structures in the population being evolved are computer p- grams. GP has been applied successfully to a large number of di?cult problems like automatic design, pattern recognition, robotic control, synthesis of neural networks, symbolic regression, music and picture generation, biomedical app- cations, etc. In recent years,even human-competitive results have been achieved by a number of groups. EuroGP 2000, the ?rst evolutionary computation conference of the new m- lennium, was the biggest event devoted to genetic programming to be held in Europe in 2000. It was a high quality conference where state-of-the-art work on the theory of GP and applications of GP to real world problems was presented. | ||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aMedical sciences. | |
650 | 0 | _aComputer programming. | |
650 | 0 | _aComputer science. | |
650 | 0 | _aPattern recognition systems. | |
650 | 0 | _aBioinformatics. | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aHealth Sciences. |
650 | 2 | 4 | _aProgramming Techniques. |
650 | 2 | 4 | _aTheory of Computation. |
650 | 2 | 4 | _aAutomated Pattern Recognition. |
650 | 2 | 4 | _aComputational and Systems Biology. |
700 | 1 |
_aPoli, Riccardo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aBanzhaf, Wolfgang. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aLangdon, William B. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aMiller, Julian F. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aNordin, Peter. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aFogarty, Terence C. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540673392 |
776 | 0 | 8 |
_iPrinted edition: _z9783662189085 |
830 | 0 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v1802 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/b75085 |
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