| [1] | Wegner, Jörg K. and Fröhlich, Holger and Zell, Andreas. {Feature selection for Descriptor based Classification Models. 1.
Theory and GA-SEC Algorithm}. , pages 921--930,feb, 2004. [pdf , url]Bibtex@ARTICLE{2004_131,author = {Wegner, Jörg K. and Fröhlich, Holger and Zell, Andreas}, title = {{Feature selection for Descriptor based Classification Models. 1. Theory and GA-SEC Algorithm}}, journal = {Journal of Chemical Information and Computer Science (JCICS)}, year = {2004}, volume = {44}, pages = {921--930}, number = {3}, month = {feb}, abstract = {The paper describes different aspects of classification models based on molecular data sets with the focus on feature selection methods. Especially model quality and avoiding a high variance on unseen data (overfitting) will be discussed with respect to the feature selection problem. We present several standard approaches and modifications of our Genetic Algorithm based on the Shannon Entropy Cliques (GA-SEC) algorithm and the extension for classification problems using boosting.}, detailspage = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/LiteraturDB/details.html?2004_131}, doi = {10.1021/ci0342324}, pdf = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/Wegner2004.pdf}, project = {abt_zell, cheminformatics}, url = {http://dx.doi.org/10.1021/ci0342324}, } |
| [2] | Wegner, Jörg K. and Fröhlich, Holger and Zell, Andreas. {Feature selection for Descriptor based Classification Models. 2.
Human intestinal absorption (HIA)}. , pages 931--939,feb, 2004. [pdf , url]Bibtex@ARTICLE{2004_65,author = {Wegner, Jörg K. and Fröhlich, Holger and Zell, Andreas}, title = {{Feature selection for Descriptor based Classification Models. 2. Human intestinal absorption (HIA)}}, journal = {Journal of Chemical Information and Computer Science (JCICS)}, year = {2004}, volume = {44}, pages = {931--939}, number = {3}, month = {feb}, abstract = {We show that the topological polar surface area (TPSA) descriptor and the radial distribution function (RDF) applied to electronic and steric atom properties, like the conjugated electrotopological state (CETS), are the most relevant features/descriptors for predicting the human intestinal absorption (HIA) out of a large set of 2934 features/descriptors. A HIA data set with 196 molecules with measured HIA values and 2934 features/descriptors were calculated using JOELib and MOE. We used an adaptive boosting algorithm to solve the binary classification problem (AdaBoost.M1) and Genetic Algorithms based on Shannon Entropy Cliques (GA-SEC) variants as hybrid feature selection algorithms. The selection of relevant features was applied with respect to the generalization ability of the classification model, avoiding a high variance for unseen molecules (overfitting).}, detailspage = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/LiteraturDB/details.html?2004_65}, doi = {10.1021/ci034233w}, pdf = {http://www.cogsys.uni-tuebingen.de/publikationen/2004/Wegner2004b.pdf}, project = {abt_zell, cheminformatics}, url = {http://dx.doi.org/10.1021/ci034233w}, } |
| [3] | Mojaev, Alexander and Zell, Andreas. Tracking Control and Adaptive Local Navigation for Nonholonomic Mobile
Robot. In Intelligent Autonomous Systems (IAS-8), pages 521--528,, Amsterdam, Netherlands,mar, 2004. Bibtex@INPROCEEDINGS{2004_130,author = {Mojaev, Alexander and Zell, Andreas}, title = {Tracking Control and Adaptive Local Navigation for Nonholonomic Mobile Robot}, booktitle = {Intelligent Autonomous Systems (IAS-8)}, year = {2004}, pages = {521--528}, address = {Amsterdam, Netherlands}, month = {mar}, publisher = {IOS Press}, abstract = {A reactive tracking control law and a flexible local navigation method for non-holonomic mobile vehicles are presented. The tracking controller enables noise tolerant trajectory following and collision avoidance with a feedback control loop through raw sensor data (laser scanner, sonars, IR). The controller needs no knowledge about absolute robot coordinates. Based on the tracking control a local navigation method is described, which allows collision avoidance and flexible path search in a changing environment.}, project = {abt_zell, robotics}, } |
| [4] | Spieth, Christian and Streichert, Felix and Speer, Nora and Zell,
Andreas. Optimizing Topology and Parameters of Gene Regulatory Network Models
from Time-Series Experiments. In Genetic and Evolutionary Computation (GECCO 2004), pages 461-470,, Seattle, USA,jun, 2004. [url]Bibtex@INPROCEEDINGS{2004_58,author = {Spieth, Christian and Streichert, Felix and Speer, Nora and Zell, Andreas}, title = {Optimizing Topology and Parameters of Gene Regulatory Network Models from Time-Series Experiments}, booktitle = {Genetic and Evolutionary Computation (GECCO 2004)}, year = {2004}, volume = {3102}, pages = {461-470}, address = {Seattle, USA}, month = {jun}, publisher = {Springer}, abstract = {In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. Different approaches to infer the dependencies of gene regulatory networks by identifying parameters of mathematical models like complex S-systems or simple Random Boolean Networks can be found in literature. Due to the complexity of the inference problem some researchers suggested Evolutionary Algorithms for this purpose. We introduce enhancements to the Evolutionary Algorithm optimization process to infer the parameters of the non-linear system given by the observed data more reliably and precisely. Due to the limited number of available data the inferring problem is under-determined and ambiguous. Further on, the problem often is multi-modal and therefore appropriate optimization strategies become necessary. We propose a new method, which evolves the topology as well as the parameters of the mathematical model to find the correct network.}, project = {abt_zell, bioinformatics, javaeva}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/spieth04optimizing.pdf}, } |
| [5] | Streichert, Felix and Planatscher, Hannes and Spieth, Christian and
Ulmer, Holger and Zell, Andreas. Comparing Genetic Programming and Evolution Strategies on Inferring
Gene Regulatory Networks. In Genetic and Evolutionary Computation (GECCO 2004), pages 471-480,, Seattle, USA,jun, 2004. [url]Bibtex@INPROCEEDINGS{2004_63,author = {Streichert, Felix and Planatscher, Hannes and Spieth, Christian and Ulmer, Holger and Zell, Andreas}, title = {Comparing Genetic Programming and Evolution Strategies on Inferring Gene Regulatory Networks}, booktitle = {Genetic and Evolutionary Computation (GECCO 2004)}, year = {2004}, volume = {3102}, series = {Lecture Notes in Computer Science}, pages = {471-480}, address = {Seattle, USA}, month = {jun}, publisher = {Springer}, abstract = {In recent years several strategies for inferring gene regulatory networks from observed time series data of gene expression have been suggested based on Evolutionary Algorithms. But often only few problem instances are investigated and the proposed strategies are rarely compared to alternative strategies. In this paper we compare Evolution Strategies and Genetic Programming with respect to their performance on multiple problem instances with varying parameters. We show that single problem instances are not sufficient to prove the effectiveness of a given strategy and that the Genetic Programming approach is less prone to varying instances than the Evolution Strategy.}, project = {abt_zell, optimization, bioinformatics, javaeva}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/streichert04comparing.pdf}, } |
| [6] | Tamimi, Hashem and Zell, Andreas. Vision based Localization of Mobile Robots using Kernel approaches. In IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS 2004), pages 1-6,, Sendai, Japan,sep, 2004. [url]Bibtex@INPROCEEDINGS{2004_138,author = {Tamimi, Hashem and Zell, Andreas}, title = {Vision based Localization of Mobile Robots using Kernel approaches}, booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2004)}, year = {2004}, volume = {4}, pages = {1-6}, address = {Sendai, Japan}, month = {sep}, abstract = {The aim of this article is to present the potential of Kernel Principal Component Analysis (Kernel PCA) in the field of vision based robot localization. Using Kernel PCA we can extract features from the visual scene of a mobile robot. The analysis is applied only to local features so as to guarantee better computational performance as well as translation invariance. Compared with the classical Principal Component Analysis (PCA), Kernel PCA results show superiority in localization and robustness in presence of noisy scenes. The key success of the kernel PCA is the use of fractional power polynomial kernels.}, project = {abt_zell, robotics}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/tamimi04-iros04.pdf}, } |
| [7] | Wang, Maosen and Zell, Andreas. Classification of natural landmark with biosonar. , pages 2640,oct, 2004. [url]Bibtex@ARTICLE{2004_142,author = {Wang, Maosen and Zell, Andreas}, title = {Classification of natural landmark with biosonar}, journal = {Journal of the Acoustical Society of America}, year = {2004}, volume = {116}, pages = {2640}, number = {4}, month = {oct}, abstract = {Echolocating bats can make nocturnal flights in acoustically cluttered environments with the use of echolocation. Their marvelous ability to evaluate natural targets in complete darkness provides us an opportunity to learn target detection, classification, and identification with similar biomimetic platforms. In this work, natural landmark classification with a binaural system, a sequential sensing strategy, and a frequency after reconstruction algorithm are adopted to provide sequential acoustic images for target classification. Experimental results suggest that considerable improvements in classification accuracy can be achieved by the use of this sequential classification method.}, detailspage = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/LiteraturDB/details.html?2004_142}, project = {abt_zell, robotics}, url = {http://link.aip.org/link/?JASMAN/116/2640/1}, } |
| [8] | Bohn, E and Müller, S and Lauber, J and Geffers, R and Speer, Nora
and Spieth, Christian and Krejci, J and Manncke, B and Buer, J and
Zell, Andreas. Gene expression patterns of epithelial cells modulated by pathogenicity
factors of Yersinia enterocolitica. , pages 129-141,2004. Bibtex@ARTICLE{2004_128,author = {Bohn, E and Müller, S and Lauber, J and Geffers, R and Speer, Nora and Spieth, Christian and Krejci, J and Manncke, B and Buer, J and Zell, Andreas}, title = {Gene expression patterns of epithelial cells modulated by pathogenicity factors of Yersinia enterocolitica}, journal = {Cellular Microbiology}, year = {2004}, volume = {6}, pages = {129-141}, number = {2}, project = {abt_zell, bioinformatics}, } |
| [9] | Fröhlich, Holger and Wegner, Jörg K. and Zell, Andreas. Towards Optimal Descriptor Subset Selection with Support Vector Machines
in Classification and Regression. , pages 311-318,2004. [url]Bibtex@ARTICLE{2004_51,author = {Fröhlich, Holger and Wegner, Jörg K. and Zell, Andreas}, title = {Towards Optimal Descriptor Subset Selection with Support Vector Machines in Classification and Regression}, journal = {QSAR \& Combinatorial Science}, year = {2004}, volume = {23}, pages = {311-318}, number = {5}, project = {abt_zell, cheminformatics}, url = {http://dx.doi.org/10.1002/qsar.200410011}, } |
| [10] | Fröhlich, Holger and Zell, Andreas. Feature Subset Selection for Support Vector Machines by Incremental
Regularized Risk Minimization. In IEEE International Joint Conference on Neural Networks, pages 2041-2046,, Budapest, Hungary,2004. [url]Bibtex@INPROCEEDINGS{2004_52,author = {Fröhlich, Holger and Zell, Andreas}, title = {Feature Subset Selection for Support Vector Machines by Incremental Regularized Risk Minimization}, booktitle = {IEEE International Joint Conference on Neural Networks}, year = {2004}, volume = {3}, pages = {2041-2046}, address = {Budapest, Hungary}, publisher = {IEEE Press}, project = {abt_zell}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/froehlich04_ijcnn.pdf}, } |
| [11] | Heinemann, Patrick and Plagge, Michael and Treptow, Andr\'{e} and
Zell, Andreas. Tracking Dynamic Objects in a RoboCup Environment - The Attempto
Tübingen Robot Soccer Team. 2004. [url]Bibtex@ARTICLE{2004_143,author = {Heinemann, Patrick and Plagge, Michael and Treptow, Andr\'{e} and Zell, Andreas}, title = {Tracking Dynamic Objects in a RoboCup Environment - The Attempto Tübingen Robot Soccer Team}, journal = {RoboCup-2003: Robot Soccer World Cup VII, Lecture Notes in Computer Science (CD-Supplement). Springer Verlag}, year = {2004}, volume = {3020}, project = {abt_zell, robocup, robotics}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/heinemann04tracking.pdf}, } |
| [12] | Heinemann, Patrick and Rückstieß, T and Zell, Andreas. Fast and Accurate Environment Modelling using Omnidirectional Vision. In Dynamic Perception: Workshop of the {GI} section "Computer Vision", pages 9-14,2004. [url]Bibtex@INCOLLECTION{2004_144,author = {Heinemann, Patrick and Rückstieß, T and Zell, Andreas}, title = {Fast and Accurate Environment Modelling using Omnidirectional Vision}, booktitle = {Dynamic Perception: Workshop of the {GI} section "Computer Vision"}, publisher = {Akademische Verlagsgesellschaft AKA}, year = {2004}, editor = {Uwe J. Ilg and Heinrich H. Bülthoff and Hanspeter A. Mallot}, volume = {1}, pages = {9-14}, journal = {Dynamic Perception}, organization = {Eberhard Karls University Tuebingen, Max Planck Institute for Biological Cybernetics}, project = {abt_zell, robotics, robocup}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/heinemann04fast.pdf}, } |
| [13] | Lilienthal, Achim and Ulmer, Holger and Fröhlich, Holger and Stützle,
Andreas and Werner, Felix and Zell, Andreas. Gas Source Declaration with a Mobile Robot. In IEEE International Conference on Robotics and Automation (ICRA 2004), New Orleans, USA,2004. [url]Bibtex@INPROCEEDINGS{2004_139,author = {Lilienthal, Achim and Ulmer, Holger and Fröhlich, Holger and Stützle, Andreas and Werner, Felix and Zell, Andreas}, title = {Gas Source Declaration with a Mobile Robot}, booktitle = {IEEE International Conference on Robotics and Automation (ICRA 2004)}, year = {2004}, volume = {2}, address = {New Orleans, USA}, publisher = {IEEE}, project = {abt_zell, robotics}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/lilien04-icra2004_col.pdf}, } |
| [14] | Mojaev, Alexander and Zell, Andreas. Real-Time Face Tracking using Discriminator Technique on Standard
PC Hardware. In IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS 2004), pages 1335--1339,, Sendai, Japan,2004. Bibtex@INPROCEEDINGS{2004_137,author = {Mojaev, Alexander and Zell, Andreas}, title = {Real-Time Face Tracking using Discriminator Technique on Standard PC Hardware}, booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2004)}, year = {2004}, volume = {2}, pages = {1335--1339}, address = {Sendai, Japan}, project = {abt_zell, robotics}, } |
| [15] | Sch\"{u}tze, Niels and W\"{o}hling, Thomas and de Paly, Michael and
Schmitz, Gerd. Meeting challenges of the Blue Revolution: increasing irrigation
efficiency with soft-computing optimisation methods. In Workshop on Integrated Water Research and Water Management, pages 92-95,, Altmorschen (Kassel), Germany,2004. Bibtex@INPROCEEDINGS{Schuetze04,author = {Sch\"{u}tze, Niels and W\"{o}hling, Thomas and de Paly, Michael and Schmitz, Gerd}, title = {Meeting challenges of the Blue Revolution: increasing irrigation efficiency with soft-computing optimisation methods}, booktitle = {Workshop on Integrated Water Research and Water Management}, year = {2004}, pages = {92-95}, address = {Altmorschen (Kassel), Germany}, project = {extern, irrigation, hydrogeo, optimization}, timestamp = {2010.01.25}, } |
| [16] | Schmollinger, M. and Fischer, Igor and Nerz, C. and Pinkenburg, S.
and Gotz, F. and Kaufmann, Michael and Lange, Klaus J. and Reuter,
R. and Rosenstiel, Wolfgang and Zell, Andreas. {ParSeq}: searching motifs with structural and biochemical properties. , pages 1459-1461,2004. [url]Bibtex@ARTICLE{2004_54,author = {Schmollinger, M. and Fischer, Igor and Nerz, C. and Pinkenburg, S. and Gotz, F. and Kaufmann, Michael and Lange, Klaus J. and Reuter, R. and Rosenstiel, Wolfgang and Zell, Andreas}, title = {{ParSeq}: searching motifs with structural and biochemical properties}, journal = {Bioinformatics}, year = {2004}, volume = {20}, pages = {1459-1461}, number = {9}, project = {abt_zell, bioinformatics}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/fischer04parseq.pdf}, } |
| [17] | Speer, Nora and Spieth, Christian and Zell, Andreas. A Memetic Clustering Algorithm for the Functional Partition of Genes
Based on the Gene Ontology. In IEEE Symposium on Computational Intelligence in Bioinformatics and
Computational Biology, pages 252-259,, San Diego, USA,2004. [url]Bibtex@INPROCEEDINGS{2004_55,author = {Speer, Nora and Spieth, Christian and Zell, Andreas}, title = {A Memetic Clustering Algorithm for the Functional Partition of Genes Based on the Gene Ontology}, booktitle = {IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology}, year = {2004}, pages = {252-259}, address = {San Diego, USA}, publisher = {IEEE Press}, project = {abt_zell, bioinformatics}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/speer04-cibcb2004.pdf}, } |
| [18] | Speer, Nora and Spieth, Christian and Zell, Andreas. A Memetic Co-Clustering Algorithm for Gene Expression Profiles and
Biological Annotation. In IEEE Congress on Evolutionary Computation, pages 1631-1638,, Portland, USA,2004. [url]Bibtex@INPROCEEDINGS{2004_56,author = {Speer, Nora and Spieth, Christian and Zell, Andreas}, title = {A Memetic Co-Clustering Algorithm for Gene Expression Profiles and Biological Annotation}, booktitle = {IEEE Congress on Evolutionary Computation}, year = {2004}, volume = {2}, pages = {1631-1638}, address = {Portland, USA}, publisher = {IEEE Press}, project = {abt_zell, bioinformatics}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/speer04-cec2004_col.pdf}, } |
| [19] | Spieth, Christian and Streichert, Felix and Speer, Nora and Zell,
Andreas. A Memetic Inference Method for Gene Regulatory Networks Based on
S-Systems. In IEEE Congress on Evolutionary Computation (CEC 2004), pages 152-157,, Portland, USA,2004. [url]Bibtex@INPROCEEDINGS{2004_59,author = {Spieth, Christian and Streichert, Felix and Speer, Nora and Zell, Andreas}, title = {A Memetic Inference Method for Gene Regulatory Networks Based on S-Systems}, booktitle = {IEEE Congress on Evolutionary Computation (CEC 2004)}, year = {2004}, volume = {1}, pages = {152-157}, address = {Portland, USA}, publisher = {IEEE Press}, abstract = {In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. As underlying mathematical model we used S-Systems, a quantitative model, which recently has found increased attention in the literature. Due to the complexity of the inference problem some researchers suggested Evolutionary Algorithms for this purpose. We introduce enhancements to this optimization process to infer the parameters of sparsely connected non-linear systems given by the observed data more reliably and precisely. Due to the limited number of available data the inferring problem is under-determined and ambiguous. Further on, the problem often is multi-modal and therefore appropriate optimization strategies become necessary. In this paper we propose a new method, which evolves the topology as well as the parameters of the mathematical model to find the correct network. This method is compared to standard algorithms found in the literature.}, project = {abt_zell, bioinformatics, javaeva}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/spieth04optimizing.pdf}, } |
| [20] | Spieth, Christian and Streichert, Felix and Speer, Nora and Zell,
Andreas. Utilizing an Island Model for EA to Preserve Solution Diversity for
Inferring Gene Regulatory Networks. In IEEE Congress on Evolutionary Computation (CEC 2004), pages 146-151,, Portland, USA,2004. [url]Bibtex@INPROCEEDINGS{2004_60,author = {Spieth, Christian and Streichert, Felix and Speer, Nora and Zell, Andreas}, title = {Utilizing an Island Model for EA to Preserve Solution Diversity for Inferring Gene Regulatory Networks}, booktitle = {IEEE Congress on Evolutionary Computation (CEC 2004)}, year = {2004}, volume = {1}, pages = {146-151}, address = {Portland, USA}, publisher = {IEEE Press}, abstract = {In this paper we address the problem of finding gene regulatory networks from artificial data sets of DNA microarray experiments. Some researchers suggested Evolutionary Algorithms for this purpose. We suggest to use an enhancement for Evolutionary Algorithms to infer the parameters of the non-linear system given by the observed data more reliably and precisely. At present, we use S-Systems because they are a general mathematical model for simulating the complex interactions of gene regulatory networks. Due to the limited number of available data, the inferring problem is highly under-determined and ambiguous. Further on, the problem often is highly multi-modal and therefore appropriate optimization strategies become necessary. We propose to use an island model to maintain diversity in the EA population to prevent premature convergence and to raise the probability of finding the global optimum.}, project = {abt_zell, bioinformatics, javaeva}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/spieth04island.pdf}, } |
| [21] | Spieth, Christian and Streichert, Felix and Speer, Nora and Zell,
Andreas. Iteratively Inferring Gene Regulatory Networks with Virtual Knockout
Experiments. In European Workshop on Evolutionary Bioinformatics (evoBIO), pages 102-111,, Coimbra, Portugal,2004. [url]Bibtex@INPROCEEDINGS{2004_61,author = {Spieth, Christian and Streichert, Felix and Speer, Nora and Zell, Andreas}, title = {Iteratively Inferring Gene Regulatory Networks with Virtual Knockout Experiments}, booktitle = {European Workshop on Evolutionary Bioinformatics (evoBIO)}, year = {2004}, volume = {3005}, series = {Lecture Notes in Computer Science}, pages = {102-111}, address = {Coimbra, Portugal}, publisher = {Springer}, abstract = {In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We introduce enhancements to an Evolutionary Algorithm optimization process to infer the parameters of the non-linear system given by the observed data more reliably and precisely. Due to the limited number of available data the inferring problem is under-determined and ambiguous. Further on, the problem often is multi-modal and therefore appropriate optimization strategies become necessary. Therefore, we propose a new method, which will suggest necessary additional biological experiments to remove the ambiguities.}, project = {abt_zell, bioinformatics, javaeva}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/spieth04iteratively.pdf}, } |
| [22] | Streichert, Felix and Spieth, Christian and Ulmer, Holger and Zell,
Andreas. How to evolve the Head-Tail Pattern from Reaction-Diffusion Systems. In NASA/DoD Conference on Evolvable Hardware, pages 261-268,, Seattle, WA, USA,2004. [url]Bibtex@INPROCEEDINGS{2004_135,author = {Streichert, Felix and Spieth, Christian and Ulmer, Holger and Zell, Andreas}, title = {How to evolve the Head-Tail Pattern from Reaction-Diffusion Systems}, booktitle = {NASA/DoD Conference on Evolvable Hardware}, year = {2004}, pages = {261-268}, address = {Seattle, WA, USA}, publisher = {IEEE Press}, project = {abt_zell, bioinformatics, javaeva}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/streichert04howtoevolve.pdf}, } |
| [23] | Streichert, Felix and Ulmer, Holger and Zell, Andreas. Evaluating a Hybrid Encoding and Three Crossover Operators on the
Constrained Portfolio Selection Problem. In Evolutionary Computation (CEC 2004), pages 932-939,, Portland, OR, USA,2004. [url]Bibtex@INPROCEEDINGS{2004_133,author = {Streichert, Felix and Ulmer, Holger and Zell, Andreas}, title = {Evaluating a Hybrid Encoding and Three Crossover Operators on the Constrained Portfolio Selection Problem}, booktitle = {Evolutionary Computation (CEC 2004)}, year = {2004}, volume = {1}, pages = {932-939}, address = {Portland, OR, USA}, publisher = {IEEE Press}, project = {abt_zell, optimization, javaeva}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/streichert04evaluating.pdf}, } |
| [24] | Streichert, Felix and Ulmer, Holger and Zell, Andreas. Comparing Discrete and Continuous Genotypes on the Constrained Portfolio
Selection Problem. In Genetic and Evolutionary Computation Conference (GECCO 2004), pages 1239-1250,, Seattle, WA, USA,2004. [url]Bibtex@INPROCEEDINGS{2004_136,author = {Streichert, Felix and Ulmer, Holger and Zell, Andreas}, title = {Comparing Discrete and Continuous Genotypes on the Constrained Portfolio Selection Problem}, booktitle = {Genetic and Evolutionary Computation Conference (GECCO 2004)}, year = {2004}, volume = {2}, series = {Lecture Notes in Computer Science}, pages = {1239-1250}, address = {Seattle, WA, USA}, publisher = {Springer}, project = {abt_zell, optimization, javaeva}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/streichert04comparingdiscrete.pdf}, } |
| [25] | Treptow, Andr\'{e} and Zell, Andreas. Combining Adaboost Learning and Evolutionary Search to select Features
for Real-Time Object Detection. In IEEE Congress on Evolutionary Computation (CEC 2004), pages 2107-2113,, IEEE Congress on Evolutionary Computation (CEC 2004),2004. [url]Bibtex@INPROCEEDINGS{2004_140,author = {Treptow, Andr\'{e} and Zell, Andreas}, title = {Combining Adaboost Learning and Evolutionary Search to select Features for Real-Time Object Detection}, booktitle = {IEEE Congress on Evolutionary Computation (CEC 2004)}, year = {2004}, volume = {2}, pages = {2107-2113}, address = {IEEE Congress on Evolutionary Computation (CEC 2004)}, publisher = {IEEE Press}, project = {abt_zell, optimization, robotics}, url = {http://www.cogsys.cs.uni-tuebingen.de/mitarb/treptow/publications/treptow04-cec.pdf}, } |
| [26] | Treptow, Andr\'{e} and Zell, Andreas. Real-Time Object Tracking for Soccer-Robots without Color Information. , pages 41-48,2004. Bibtex@ARTICLE{2004_141,author = {Treptow, Andr\'{e} and Zell, Andreas}, title = {Real-Time Object Tracking for Soccer-Robots without Color Information}, journal = {Robotics and Autonomous Systems}, year = {2004}, volume = {48}, pages = {41-48}, number = {1}, project = {abt_zell, robotics, robocup}, } |
| [27] | Holger Ulmer and Felix Streichert and Andreas Zell. Knowledge Incorporation in Evolutionary Computation. , pages 333--358,2004. Bibtex@INBOOK{ulmer04MAES,chapter = {Model Assisted Evolution Strategies}, pages = {333--358}, title = {Knowledge Incorporation in Evolutionary Computation}, publisher = {Springer}, year = {2004}, editor = {Jin, Yaochu}, author = {Holger Ulmer and Felix Streichert and Andreas Zell}, volume = {167}, series = {Studies in Fuzziness and Soft Computing Series}, isbn = {978-3-540-22902-5}, project = {abt_zell, optimization, javaeva}, } |
| [28] | Ulmer, Holger and Streichert, Felix and Zell, Andreas. Evolution Strategies with Controlled Model Assistance. In Congress on Evolutionary Computation (CEC 2004), pages 1569-1576,, Portland, OR, USA,2004. [url]Bibtex@INPROCEEDINGS{2004_134,author = {Ulmer, Holger and Streichert, Felix and Zell, Andreas}, title = {Evolution Strategies with Controlled Model Assistance}, booktitle = {Congress on Evolutionary Computation (CEC 2004)}, year = {2004}, volume = {2}, pages = {1569-1576}, address = {Portland, OR, USA}, publisher = {IEEE Press}, project = {abt_zell, javaeva, optimization}, url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2004/ulmer04evolution.pdf}, } |