@article{Wei82,
	title = {{Selbstgesteuertes Lernen als Voraussetzung, Methode und Ziel des
	Unterrichts}},
	author = {Franz E. Weinert},
	journal = {Unterrichtswissenschaft},
	number = {2},
	pages = {99--110},
	year = {1982},
	biburl = {http://www.bibsonomy.org/bibtex/21b4f07b3a5643ae82b36b6ca8fbf73ad/acarell},
	groupsearch = {0},
	keywords = {Selbststeuerung }
}

@incollection{Wei96,
	title = {{Instruktionsmedien}},
	address = {G�ttingen},
	author = {Bernd Weidenmann},
	booktitle = {{Enzyklop�die der Psychologie, P�dagogische Psychologie: Psychologie
	des Lernens und der Instruktion}},
	editor = {F. E. Weinert},
	pages = {319--368},
	publisher = {Hogrefe},
	year = {1996},
	biburl = {http://www.bibsonomy.org/bibtex/24897a2ddc1dcf8d2ca573c99b8b2ef6f/acarell},
	groupsearch = {0},
	keywords = {Selbststeuerung }
}

@incollection{SchiePek96,
	title = {{Psychologische Modelle des fremdgesteuerten und selbstgesteuerten
	Lernens}},
	address = {G�ttingen},
	author = {Ulrich Schiefele and Reinhard Pekrun},
	booktitle = {{Psychologie des Lernens und der Instruktion. Enzyklop�die der Psychologie}},
	editor = {Franz E. Weinert},
	pages = {249--278},
	publisher = {Hogrefe},
	year = {1996},
	biburl = {http://www.bibsonomy.org/bibtex/2230b6b4343eb95e7f1c2d805028b2aea/acarell},
	groupsearch = {0},
	keywords = {Selbststeuerung }
}

@inproceedings{mehnen03,
	title = {Evolutionary Optimized Mold Temperature Control
                 Strategies using a Multi-Polyline Approach},
	address = {Essex},
	author = {Jorn Mehnen and Thomas Michelitsch and Klaus Weinert},
	booktitle = {Genetic Programming, Proceedings of EuroGP'2003},
	editor = {Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa},
	month = {14-16 April},
	pages = {374--383},
	publisher = {Springer-Verlag},
	series = {LNCS},
	url = {http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2610&spage=374},
	volume = {2610},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/255c5a322f608ba7abaf7a49b906cc335/brazovayeye},
	abstract = {During the machining process the tools for pressure
                 and injection molding have to keep an optimal working
                 temperature. This temperature depends on the workpiece
                 material and allows a safe, efficient and precise
                 machining process. The compact and very expensive steel
                 molds are penetrated with deep hole drilling bores that
                 are combined to form mold temperature control circuits.
                 Today the structure of these circuits are designed
                 manually. Here, a new automatic layout system for mold
                 temperature control strategies is introduced which uses
                 a multiobjective fitness function. The circuits are
                 encoded via a polyline approach. The complex
                 optimization problem is solved using a variation of the
                 evolution strategy. The evolutionary approach as well
                 as first results of the system will be discussed.},
	organisation = {EvoNet}, publisher_address = {Berlin}, isbn = {3-540-00971-X}, notes = {EuroGP'2003 held in conjunction with EvoWorkshops
                 2003},
	keywords = {algorithms, genetic programming }
}

@inproceedings{conf/adma/WeinertL06,
	title = {{GEPCLASS}: {A} Classification Rule Discovery Tool
                 Using Gene Expression Programming},
	address = {Xi'an, China},
	author = {Wagner R. Weinert and Heitor S. Lopes},
	booktitle = {Advanced Data Mining and Applications, Proceedings of
                 the Second International Conference, {ADMA}},
	editor = {Xue Li and Osmar R. Za{\"i}ane and Zhanhuai Li},
	month = {August 14-16},
	pages = {871--880},
	publisher = {Springer},
	series = {Lecture Notes in Computer Science},
	volume = {4093},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2efee4af3f03b57a108114029f1c310b8/brazovayeye},
	abstract = {This work describes the use of a recently proposed
                 technique gene expression programming for knowledge
                 discovery in the data mining task of data
                 classification. We propose a new method for rule
                 encoding and genetic operators that preserve rule
                 integrity, and implemented a system, named GEPCLASS.
                 Due to its encoding scheme, the system allows the
                 automatic discovery of flexible rules, better fitted to
                 data. The performance of GEPCLASS was compared with two
                 genetic programming systems and with C4.5, over four
                 data sets in a five-fold cross-validation procedure.
                 The predictive accuracy for the methods compared were
                 similar, but the computational effort needed by
                 GEPCLASS was significantly smaller than the other.
                 GEPCLASS was able to find simple and accurate rules as
                 it can handle continuous and categorical attributes.},
	bibsource = {DBLP,
                 http://dblp.uni-trier.de/db/conf/adma/adma2006.html#WeinertL06}, bibdate = {2006-08-21}, isbn = {3-540-37025-0}, doi = {doi:10.1007/11811305_95},
	keywords = {Expression Gene Programming algorithms, genetic programming, }
}

@inproceedings{weinert:2002:EuroGPa,
	title = {A New View on Symbolic Regression},
	address = {Kinsale, Ireland},
	author = {Klaus Weinert and Marc Stautner},
	booktitle = {Genetic Programming, Proceedings of the 5th European
                 Conference, EuroGP 2002},
	editor = {James A. Foster and Evelyne Lutton and Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi},
	month = {3-5 April},
	pages = {113--122},
	publisher = {Springer-Verlag},
	series = {LNCS},
	volume = {2278},
	year = {2002},
	biburl = {http://www.bibsonomy.org/bibtex/22a31e462d0db92ef547ac3035590c13f/brazovayeye},
	abstract = {Symbolic regression is a widely used method to
                 reconstruct mathematical correlations. This paper
                 presents a new graphical representation of the
                 individuals reconstructed in this process. This new
                 three dimensional representation allows the user to
                 recognize certain possibilities to improve his setup of
                 the process parameters. Furthermore this new
                 representation allows a wider usage of the generated
                 three dimensional objects with nearly every CAD program
                 for further use. To show the practical usage of this
                 new representation it was used to reconstruct
                 mathematical descriptions of the dynamics in a
                 machining process namely in orthogonal cutting.},
	publisher_address = {Berlin}, isbn = {3-540-43378-3}, notes = {EuroGP'2002, part of \cite{lutton:2002:GP}},
	keywords = {algorithms, genetic programming }
}

@inproceedings{weinert:2002:EuroGP,
	title = {Parallel Surface Reconstruction},
	address = {Kinsale, Ireland},
	author = {Klaus Weinert and Tobias Surmann and J{\"o}rn Mehnen},
	booktitle = {Genetic Programming, Proceedings of the 5th European
                 Conference, EuroGP 2002},
	editor = {James A. Foster and Evelyne Lutton and Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi},
	month = {3-5 April},
	pages = {93--102},
	publisher = {Springer-Verlag},
	series = {LNCS},
	volume = {2278},
	year = {2002},
	biburl = {http://www.bibsonomy.org/bibtex/28556d664d0195bd15be3b7b940c55cdf/brazovayeye},
	abstract = {The task of surface reconstruction is to find a
                 mathematical representation of a surface which is given
                 only by a set of discrete sampling points. The
                 mathematical description in the computer allows to save
                 or transfer the geometric data via internet, to
                 manipulate (e.g. for aerodynamic or design specific
                 reasons) or to optimize the machining of the work
                 pieces. The reconstruction of the shape of an object is
                 a difficult mathematical and computer scientific
                 problem. For this reason a GP/ES-hybrid algorithm has
                 been used. Due to the high complexity of the problem
                 and in order to speed up the reconstruction process,
                 the algorithm has been enhanced to work as a
                 multipopulation GP/ES that runs in parallel on a
                 network of standard PCs.},
	publisher_address = {Berlin}, isbn = {3-540-43378-3}, notes = {EuroGP'2002, part of \cite{lutton:2002:GP}},
	keywords = {algorithms, genetic programming }
}

@inproceedings{weinert:2001:gecco,
	title = {Evolutionary Surface Reconstruction Using
                 {CSG}-{NURBS}-Hybrids},
	address = {San Francisco, California, USA},
	author = {Klaus Weinert and Tobias Surmann and Jorn Mehnen},
	booktitle = {Proceedings of the Genetic and Evolutionary
                 Computation Conference (GECCO-2001)},
	editor = {Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke},
	month = {7-11 July},
	pages = {1456},
	publisher = {Morgan Kaufmann},
	url = {http://www.cs.bham.ac.uk/~wbl/biblio/gecco2001/d25.pdf},
	year = {2001},
	biburl = {http://www.bibsonomy.org/bibtex/2cfef143ad436e04a10606cf93dcf52f0/brazovayeye},
	publisher_address = {San Francisco, CA 94104, USA}, isbn = {1-55860-774-9}, notes = {GECCO-2001 A joint meeting of the tenth International
                 Conference on Genetic Algorithms (ICGA-2001) and the
                 sixth Annual Genetic Programming Conference (GP-2001)
                 Part of \cite{spector:2001:GECCO}},
	keywords = {CSG NURBS, Poster, algorithms, applications: genetic programming, real reconstruction, surface world }
}

@inproceedings{weinert2:2001:gecco,
	title = {Reconstruction of Particle Flow Mechanisms with
                 Symbolic Regression via Genetic Programming},
	address = {San Francisco, California, USA},
	author = {Klaus Weinert and Marc Stautner},
	booktitle = {Proceedings of the Genetic and Evolutionary
                 Computation Conference (GECCO-2001)},
	editor = {Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke},
	month = {7-11 July},
	pages = {1439--1443},
	publisher = {Morgan Kaufmann},
	url = {http://www.cs.bham.ac.uk/~wbl/biblio/gecco2001/d24.pdf},
	year = {2001},
	biburl = {http://www.bibsonomy.org/bibtex/2bc7d8f6537fc5537b8c806c2ce2d369c/brazovayeye},
	publisher_address = {San Francisco, CA 94104, USA}, isbn = {1-55860-774-9}, notes = {GECCO-2001 A joint meeting of the tenth International
                 Conference on Genetic Algorithms (ICGA-2001) and the
                 sixth Annual Genetic Programming Conference (GP-2001)
                 Part of \cite{spector:2001:GECCO}},
	keywords = {Flow Mechanical Symbolic algorithms, applications, engineering genetic mechanisms, programming, real regression, world }
}

@incollection{droste:2003:ACI,
	title = {Theory of Evolutionary Algorithms and Genetic
                 Programming},
	author = {Stefan Droste and Thomas Jansen and G{\"u}nter Rudolph and Hans-Paul Schwefel and Karsten Tinnefeld and Ingo Wegener},
	booktitle = {Advances in Computational Intelligence: Theory and
                 Practice},
	chapter = {5},
	editor = {Hans-Paul Schwefel and Ingo Wegener and Klaus Weinert},
	pages = {107--144},
	publisher = {Springer},
	series = {Natural Computing Series},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/2b843880fe8f1ec473f4b4ee849d1e4bf/brazovayeye},
	isbn = {3-540-43269-8}, notes = {Dynamization and Adaptation. Black-box Optimisation.
                 Metric-Based EA (MBEA) and an Application in GP},
	keywords = {Algorithms, Crossover, Evolutionary Multiobjective NFL, Takeover Times algorithms, genetic programming, }
}