@article{journals/ijprai/FrankeG07,
	title = {Using Restricted Random Walks for Library Recommendations and Knowledge Space Exploration.},
	author = {Markus Franke and Andreas Geyer-Schulz},
	journal = {IJPRAI},
	number = {2},
	pages = {355-373},
	url = {http://dblp.uni-trier.de/db/journals/ijprai/ijprai21.html#FrankeG07},
	volume = {21},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/2ad46c16d63ccaf8362c7eab4cb318b39/dblp},
	description = {dblp},
	ee = {http://dx.doi.org/10.1142/S0218001407005442}, date = {2008-07-09},
	keywords = {dblp }
}

@inproceedings{conf/or/ThedeG06,
	title = {Using Shadow Prices to Reveal Personal Preferences in a Two-Stage Assignment Problem.},
	author = {Anke Thede and Andreas Geyer-Schulz},
	booktitle = {OR},
	crossref = {conf/or/2006},
	editor = {Karl-Heinz Waldmann and Ulrike M. Stocker},
	pages = {245-250},
	url = {http://dblp.uni-trier.de/db/conf/or/or2006.html#ThedeG06},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/25749f20d684420de44108a1fcfa8d259/dblp},
	description = {dblp},
	ee = {http://dx.doi.org/10.1007/978-3-540-69995-8_41}, isbn = {978-3-540-69994-1}, date = {2008-07-04},
	keywords = {dblp }
}

@inproceedings{Geyer-Schulz:1997:700,
	title = {The Next 700 Programming Languages for Genetic
                 Programming},
	address = {Stanford University, CA, USA},
	author = {Andreas Geyer-Schulz},
	booktitle = {Genetic Programming 1997: Proceedings of the Second
                 Annual Conference},
	editor = {John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo},
	month = {13-16 July},
	pages = {128--136},
	publisher = {Morgan Kaufmann},
	year = {1997},
	biburl = {http://www.bibsonomy.org/bibtex/27056d4fa5f24eb140fd936be48ae237f/brazovayeye},
	notes = {GP-97}, publisher_address = {San Francisco, CA, USA},
	keywords = {algorithms, genetic programming }
}

@article{GeyerSchulz96g,
	title = {Fuzzy Genetic Algorithms},
	author = {Andreas Geyer-Schulz},
	journal = {Handbook of Fuzzy Systems},
	month = {April},
	note = {Work in progress},
	year = {1996},
	biburl = {http://www.bibsonomy.org/bibtex/278bc4c9dc377980b9bffe451f82cfb1d/brazovayeye},
	keywords = {algorithms, genetic programming }
}

@article{GeyerSchulz96f,
	title = {Learning Strategies for Managing New and Innovative
                 Products},
	author = {Andreas Geyer-Schulz},
	journal = {Proc. GfKl'96 - 20. Jahrestagung der Gesellschaft
                 f{\"u}r Klassifikation},
	month = {March},
	note = {accepted},
	year = {1996},
	biburl = {http://www.bibsonomy.org/bibtex/2289bec7714b95ae56483754a03f4c231/brazovayeye},
	keywords = {algorithms, genetic programming }
}

@article{GeyerSchulz96e,
	title = {Compound Derivations in Fuzzy Genetic Programming},
	author = {Andreas Geyer-Schulz},
	journal = {Proc. NAFIPS'96},
	month = {July},
	pages = {510--514},
	year = {1996},
	biburl = {http://www.bibsonomy.org/bibtex/2b1885437a7bfa67fed0c5c34b03c622d/brazovayeye},
	keywords = {algorithms, genetic programming }
}

@article{GeyerSchulz96d,
	title = {Fuzzy Genetic Programming and Dynamic Decision
                 Making},
	author = {Andreas Geyer-Schulz},
	journal = {Proc. ICSE'96},
	month = {June},
	pages = {686--691},
	year = {1996},
	biburl = {http://www.bibsonomy.org/bibtex/29e438d076d2a084f7fa208044cf2e5af/brazovayeye},
	keywords = {algorithms, genetic programming }
}

@inproceedings{GeyerSchulz96c,
	title = {{D}as {L}ernen von {B}estellregeln in
                 {D}istributionsketten: {E}ine betriebswirtschaftliche
                 {A}nwendung von {F}uzzy {G}enetic {P}rogramming},
	address = {G{\"o}ttingen},
	author = {Andreas Geyer-Schulz},
	booktitle = {Betriebliche Anwendungen von Fuzzy Technologien},
	crossref = {Biethahn96},
	editor = {J. Biethahn and A. H{\"o}hnerloh and J. Kuhl and V. Nissen},
	pages = {92--106},
	publisher = {Georg-August Universit{\"a}t G{\"o}ttingen, Institut
                 f{\"u}r Wirtschaftsinformatik},
	year = {1996},
	biburl = {http://www.bibsonomy.org/bibtex/2566708ea0ca476efa08aec0acd79b8f2/brazovayeye},
	organisation = {AFN -- Arbeitsgemeinschaft Fuzzy Logik und
                 Softcomputing Norddeutschland}, notes = {In \cite{Biethahn96}},
	keywords = {algorithms, genetic programming }
}

@book{GeyerSchulz96b,
	title = {Fuzzy Rule-Based Expert Systems and Genetic Machine
                 Learning},
	address = {Heidelberg},
	author = {Andreas Geyer-Schulz},
	edition = {2nd revised},
	publisher = {Physica-Verlag},
	series = {Studies in Fuzziness and Soft Computing},
	volume = {3},
	year = {1996},
	biburl = {http://www.bibsonomy.org/bibtex/24288de53681d6cb6a705c3e06676f4b6/brazovayeye},
	keywords = {algorithms, genetic programming }
}

@article{bruhn:2002:ECJ,
	title = {Genetic Programming over Context-Free Languages with
                 Linear Constraints for the Knapsack Problem: First
                 Results},
	author = {Peter Bruhn and Andreas Geyer-Schulz},
	journal = {Evolutionary Computation},
	month = {Spring},
	number = {1},
	pages = {51--74},
	url = {http://www.ingentaconnect.com/content/mitpress/evco/2002/00000010/00000001/art00004},
	volume = {10},
	year = {2002},
	biburl = {http://www.bibsonomy.org/bibtex/2d0ab02e7c76165958bd68ede62d3f4d8/brazovayeye},
	abstract = {we introduce genetic programming over context-free
                 languages with linear constraints for combinatorial
                 optimization, apply this method to several variants of
                 the multidimensional knapsack problem, and discuss its
                 performance relative to Michalewicz's genetic algorithm
                 with penalty functions. With respect to Michalewicz's
                 approach, we demonstrate that genetic programming over
                 context-free languages with linear constraints improves
                 convergence. A final result is that genetic programming
                 over context-free languages with linear constraints is
                 ideally suited to modeling complementarities between
                 items in a knapsack problem: The more complementarities
                 in the problem, the stronger the performance in
                 comparison to its competitors.},
	doi = {doi:10.1162/106365602317301772},
	keywords = {algorithms, combinatorial, constraints, context-free evolution, genetic genetic, grammar-based grammars, grammatical knapsack linear optimization, problems programming, with }
}