Hasso-Plattner-Institut
Prof. Dr. Tobias Friedrich
  
 

Publications of Dr. Timo Kötzing

The following listing contains all publications of Dr. Timo Kötzing. Further publications of the research group can be found on the current list of publications and the complete list of publications. Individual listings are available externally on DBLP and Google Scholar or locally as PDF.

[ 2020 ] [ 2019 ] [ 2018 ] [ 2017 ] [ 2016 ] [ 2015 ] [ 2014 ] [ 2013 ] [ 2012 ] [ 2011 ] [ 2010 ] [ 2009 ] [ 2008 ] [ 2007 ]

2020 [ to top ]

  • Correction to: Reoptimiza... - Download
    Shi, Feng; Schirneck, Martin; Friedrich, Tobias; Kötzing, Timo; Neumann, FrankCorrection to: Reoptimization Time Analysis of Evolutionary Algorithms on Linear Functions Under Dynamic Uniform Constraints. Algorithmica 2020
     
  • Analysis of the (1+1) EA ... - Download
    Friedrich, Tobias; Kötzing, Timo; Lagodzinski, J. A. Gregor; Neumann, Frank; Schirneck, MartinAnalysis of the (1+1) EA on Subclasses of Linear Functions under Uniform and Linear Constraints. Theoretical Computer Science 2020: 3-19
     
  • Destructiveness of lexico... - Download
    Kötzing, Timo; Lagodzinski, J. A. Gregor; Lengler, Johannes; Melnichenko, AnnaDestructiveness of lexicographic parsimony pressure and alleviation by a concatenation crossover in genetic programming. Theoretical Computer Science 2020: 96--113
     
  • The impact of lexicograph... - Download
    Doerr, Benjamin; Kötzing, Timo; Lagodzinski, J. A. Gregor; Lengler, JohannesThe impact of lexicographic parsimony pressure for ORDER/MAJORITY on the run time. Theoretical Computer Science 2020: 144--168
     
  • Cautious Limit Learning - Download
    Doskoč, Vanja; Kötzing, TimoCautious Limit Learning. Algorithmic Learning Theory (ALT) 2020: 251-276
     

2019 [ to top ]

  • Solving Problems with Unk... - Download
    Doerr, Benjamin; Doerr, Carola; Kötzing, TimoSolving Problems with Unknown Solution Length at Almost No Extra Cost. Algorithmica 2019: 703-748
     
  • Reoptimization Time Analy... - Download
    Shi, Feng; Schirneck, Martin; Friedrich, Tobias; Kötzing, Timo; Neumann, FrankReoptimization Time Analysis of Evolutionary Algorithms on Linear Functions Under Dynamic Uniform Constraints. Algorithmica 2019: 828-857
     
  • Island Models Meet Rumor ... - Download
    Doerr, Benjamin; Fischbeck, Philipp; Frahnow, Clemens; Friedrich, Tobias; Kötzing, Timo; Schirneck, MartinIsland Models Meet Rumor Spreading. Algorithmica 2019: 886-915
     
  • Surfing on the seascape: ... - Download
    Trubenova, Barbora; Kötzing, Timo; Krejca, Martin S.; Lehre, Per KristianSurfing on the seascape: Adaptation in a changing environment. Evolution: International Journal of Organic Evolution 2019: 1356-1374
     
  • Unbiasedness of Estimatio... - Download
    Friedrich, Tobias; Kötzing, Timo; Krejca, Martin S.Unbiasedness of Estimation-of-Distribution Algorithms. Theoretical Computer Science 2019: 46-59
     
  • First-hitting times under... - Download
    Kötzing, Timo; Krejca, Martin S.First-hitting times under drift. Theoretical Computer Science 2019: 51-69
     
  • Limit Learning Equivalenc... - Download
    Fokina, Ekaterina; Kötzing, Timo; San Mauro, LucaLimit Learning Equivalence Structures. Algorithmic Learning Theory (ALT) 2019: 383-403
     
  • Multiplicative Up-Drift - Download
    Doerr, Benjamin; Kötzing, TimoMultiplicative Up-Drift. Genetic and Evolutionary Computation Conference (GECCO) 2019
     
  • Mixed Integer Programming... - Download
    Peters, Jannik; Stephan, Daniel; Amon, Isabel; Gawendowicz, Hans; Lischeid, Julius; Salabarria, Julius; Umland, Jonas; Werner, Felix; Krejca, Martin S.; Rothenberger, Ralf; Kötzing, Timo; Friedrich, TobiasMixed Integer Programming versus Evolutionary Computation for Optimizing a Hard Real-World Staff Assignment Problem. International Conference on Automated Planning and Scheduling (ICAPS) 2019: 541-554
     

2018 [ to top ]

  • Preface to the Special Is... - Download
    Kötzing, Timo; Sudholt, DirkPreface to the Special Issue on Theory of Genetic and Evolutionary Computation. Algorithmica 2018: 1575-1578
     
  • Static and Self-Adjusting... - Download
    Doerr, Benjamin; Doerr, Carola; Kötzing, TimoStatic and Self-Adjusting Mutation Strengths for Multi-valued Decision Variables. Algorithmica 2018: 1732-1768
     
  • Learning from Informants:... - Download
    Aschenbach, Martin; Kötzing, Timo; Seidel, KarenLearning from Informants: Relations between Learning Success Criteria. ArXiv 2018: 37
    ArXiv preprint
     
  • Escaping Local Optima Usi... - Download
    Dang, Duc-Cuong; Friedrich, Tobias; Kötzing, Timo; Krejca, Martin S.; Lehre, Per Kristian; Oliveto, Pietro S.; Sudholt, Dirk; Sutton, Andrew M.Escaping Local Optima Using Crossover with Emergent Diversity. Transactions on Evolutionary Computation 2018: 484-497
     
  • Improving the Run Time of... - Download
    Friedrich, Tobias; Kötzing, Timo; Quinzan, Francesco; Sutton, Andrew M.Improving the Run Time of the (1+1) Evolutionary Algorithm with Luby Sequences. Genetic and Evolutionary Computation Conference (GECCO) 2018: 301-308
     
  • Destructiveness of Lexico... - Download
    Kötzing, Timo; Lagodzinski, J. A. Gregor; Lengler, Johannes; Melnichenko, AnnaDestructiveness of Lexicographic Parsimony Pressure and Alleviation by a Concatenation Crossover in Genetic Programming. Parallel Problem Solving From Nature (PPSN) 2018: 42-54
     
  • First-Hitting Times for F... - Download
    Kötzing, Timo; Krejca, Martin S.First-Hitting Times for Finite State Spaces. Parallel Problem Solving From Nature (PPSN) 2018: 79-91
     
  • First-Hitting Times Under... - Download
    Kötzing, Timo; Krejca, Martin S.First-Hitting Times Under Additive Drift. Parallel Problem Solving From Nature (PPSN) 2018: 92-104
     
  • Ring Migration Topology H... - Download
    Frahnow, Clemens; Kötzing, TimoRing Migration Topology Helps Bypassing Local Optima. Parallel Problem Solving From Nature (PPSN) 2018: 129-140
     

2017 [ to top ]

  • The Compact Genetic Algor... - Download
    Friedrich, Tobias; Kötzing, Timo; Krejca, Martin S.; Sutton, Andrew M.The Compact Genetic Algorithm is Efficient under Extreme Gaussian Noise. Transactions on Evolutionary Computation 2017: 477-490
     
  • A Generic Bet-and-Run Str... - Download
    Friedrich, Tobias; Kötzing, Timo; Wagner, MarkusA Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search. Conference on Artificial Intelligence (AAAI) 2017: 801-807
     
  • Normal Forms in Semantic ... - Download
    Kötzing, Timo; Schirneck, Martin; Seidel, KarenNormal Forms in Semantic Language Identification. Algorithmic Learning Theory (ALT) 2017: 493-516
     
  • Scaling up Local Search f... - Download
    Gao, Wanru; Friedrich, Tobias; Kötzing, Timo; Neumann, FrankScaling up Local Search for Minimum Vertex Cover in Large Graphs by Parallel Kernelization. Australasian Conference on Artificial Intelligence (AUSAI) 2017: 131-143
     
  • Resampling vs Recombinati... - Download
    Friedrich, Tobias; Kötzing, Timo; Quinzan, Francesco; Sutton, Andrew MichaelResampling vs Recombination: a Statistical Run Time Estimation. Foundations of Genetic Algorithms (FOGA) 2017: 25-35
     
  • Analysis of the {(1+1)} E... - Download
    Friedrich, Tobias; Kötzing, Timo; Lagodzinski, J. A. Gregor; Neumann, Frank; Schirneck, MartinAnalysis of the {(1+1)} EA on Subclasses of Linear Functions under Uniform and Linear Constraints. Foundations of Genetic Algorithms (FOGA) 2017: 45-54
     
  • Analyzing Search Heuristi... - Download
    Friedrich, Tobias; Kötzing, Timo; Melnichenko, AnnaAnalyzing Search Heuristics with Differential Equations. Genetic and Evolutionary Computation Conference (GECCO) 2017: 313-314
     
  • Bounding Bloat in Genetic... - Download
    Doerr, Benjamin; Kötzing, Timo; Lagodzinski, J. A. Gregor; Lengler, JohannesBounding Bloat in Genetic Programming. Genetic and Evolutionary Computation Conference (GECCO) 2017: 921-928
     
  • Island Models Meet Rumor ... - Download
    Doerr, Benjamin; Fischbeck, Philipp; Frahnow, Clemens; Friedrich, Tobias; Kötzing, Timo; Schirneck, MartinIsland Models Meet Rumor Spreading. Genetic and Evolutionary Computation Conference (GECCO) 2017: 1359-1366
     
  • Unknown Solution Length P... - Download
    Doerr, Benjamin; Doerr, Carola; Kötzing, TimoUnknown Solution Length Problems With No Asymptotically Optimal Run Time. Genetic and Evolutionary Computation Conference (GECCO) 2017: 1367-1374
     
  • Reoptimization Times of E... - Download
    Shi, Feng; Schirneck, Martin; Friedrich, Tobias; Kötzing, Timo; Neumann, FrankReoptimization Times of Evolutionary Algorithms on Linear Functions Under Dynamic Uniform Constraints. Genetic and Evolutionary Computation Conference (GECCO) 2017: 1407-1414
     

2016 [ to top ]

  • Robustness of Populations... - Download
    Gießen, Christian; Kötzing, TimoRobustness of Populations in Stochastic Environments. Algorithmica 2016: 462-489
     
  • Concentration of First Hi... - Download
    Kötzing, TimoConcentration of First Hitting Times Under Additive Drift. Algorithmica 2016: 490-506
     
  • Robustness of Ant Colony ... - Download
    Friedrich, Tobias; Kötzing, Timo; Krejca, Martin S.; Sutton, Andrew M.Robustness of Ant Colony Optimization to Noise. Evolutionary Computation 2016: 237-254
     
  • Strongly non-U-shaped lan... - Download
    Case, John; Kötzing, TimoStrongly non-U-shaped language learning results by general techniques. Information and Computation 2016: 1-15
     
  • On the Role of Update Con... - Download
    Jain, Sanjay; Kötzing, Timo; Ma, Junqi; Stephan, FrankOn the Role of Update Constraints and Text-Types in Iterative Learning. Information and Computation 2016: 152-168
     
  • Enlarging learnable class... - Download
    Jain, Sanjay; Kötzing, Timo; Stephan, FrankEnlarging learnable classes. Information and Computation 2016: 194-207
     
  • A map of update constrain... - Download
    Kötzing, Timo; Palenta, RaphaelaA map of update constraints in inductive inference. Theoretical Computer Science 2016: 4-24
     
  • Topological Separations i... - Download
    Case, John; Kötzing, TimoTopological Separations in Inductive Inference. Theoretical Computer Science 2016: 33-45
     
  • Ant Colony Optimization B... - Download
    Friedrich, Tobias; Kötzing, Timo; Quinzan, Francesco; Sutton, Andrew M.Ant Colony Optimization Beats Resampling on Noisy Functions. Genetic and Evolutionary Computation Conference (GECCO) 2016: 3-4
     
  • The Benefit of Recombinat... - Download
    Friedrich, Tobias; Kötzing, Timo; Krejca, Martin S.; Sutton, Andrew M.The Benefit of Recombination in Noisy Evolutionary Search. Genetic and Evolutionary Computation Conference (GECCO) 2016: 161-162
     
  • Escaping Local Optima wit... - Download
    Dang, Duc-Cuong; Friedrich, Tobias; Krejca, Martin S.; Kötzing, Timo; Lehre, Per Kristian; Oliveto, Pietro S.; Sudholt, Dirk; Sutton, Andrew MichaelEscaping Local Optima with Diversity Mechanisms and Crossover. Genetic and Evolutionary Computation Conference (GECCO) 2016: 645-652
     
  • Fast Building Block Assem... - Download
    Friedrich, Tobias; Kötzing, Timo; Krejca, Martin S.; Nallaperuma, Samadhi; Neumann, Frank; Schirneck, MartinFast Building Block Assembly by Majority Vote Crossover. Genetic and Evolutionary Computation Conference (GECCO) 2016: 661-668
     
  • The Right Mutation Streng... - Download
    Doerr, Benjamin; Doerr, Carola; Kötzing, TimoThe Right Mutation Strength for Multi-Valued Decision Variables. Genetic and Evolutionary Computation Conference (GECCO) 2016: 1115-1122
     
  • {EDA}s cannot be Balanced... - Download
    Friedrich, Tobias; Kötzing, Timo; Krejca, Martin S.{EDA}s cannot be Balanced and Stable. Genetic and Evolutionary Computation Conference (GECCO) 2016: 1139-1146
     
  • Graceful Scaling on Unifo... - Download
    Friedrich, Tobias; Kötzing, Timo; Krejca, Martin S.; Sutton, Andrew M.Graceful Scaling on Uniform versus Steep-Tailed Noise. Parallel Problem Solving From Nature (PPSN) 2016: 761-770
     
  • On the Robustness of Evol... - Download
    Friedrich, Tobias; Kötzing, Timo; Sutton, Andrew M.On the Robustness of Evolving Populations. Parallel Problem Solving From Nature (PPSN) 2016: 771-781
     
  • Provably Optimal Self-Adj... - Download
    Doerr, Benjamin; Doerr, Carola; Kötzing, TimoProvably Optimal Self-Adjusting Step Sizes for Multi-Valued Decision Variables. Parallel Problem Solving From Nature (PPSN) 2016: 782-791
     
  • Emergence of Diversity an... - Download
    Dang, Duc-Cuong; Lehre, Per Kristian; Friedrich, Tobias; Kötzing, Timo; Krejca, Martin S.; Oliveto, Pietro S.; Sudholt, Dirk; Sutton, Andrew M.Emergence of Diversity and its Benefits for Crossover in Genetic Algorithms. Parallel Problem Solving From Nature (PPSN) 2016: 890-900
     
  • Towards an Atlas of Compu... - Download
    Kötzing, Timo; Schirneck, MartinTowards an Atlas of Computational Learning Theory. Symposium on Theoretical Aspects of Computer Science (STACS) 2016: 47:1-47:13
     

2015 [ to top ]

  • Unbiased Black-Box Comple... - Download
    Doerr, Benjamin; Doerr, Carola; Kötzing, TimoUnbiased Black-Box Complexities of Jump Functions. Evolutionary Computation 2015: 641-670
     
  • Fast Learning of Restrict... - Download
    Freydenberger, Dominik D.; Kötzing, TimoFast Learning of Restricted Regular Expressions and DTDs. Theory of Computing Systems 2015: 1114-1158
     
  • (1+1) EA on Generalized D... - Download
    Kötzing, Timo; Lissovoi, Andrei; Witt, Carsten(1+1) EA on Generalized Dynamic OneMax. Foundations of Genetic Algorithms (FOGA) 2015: 40-51
     
  • Robustness of Ant Colony ... - Download
    Friedrich, Tobias; Kötzing, Timo; Krejca, Martin S.; Sutton, Andrew M.Robustness of Ant Colony Optimization to Noise. Genetic and Evolutionary Computation Conference (GECCO) 2015: 17-24
    Best-Paper Award (ACO/SI Track)
     
  • Solving Problems with Unk... - Download
    Doerr, Benjamin; Doerr, Carola; Kötzing, TimoSolving Problems with Unknown Solution Length at (Almost) No Extra Cost. Genetic and Evolutionary Computation Conference (GECCO) 2015: 831-838
     
  • The Benefit of Recombinat... - Download
    Friedrich, Tobias; Kötzing, Timo; Krejca, Martin S.; Sutton, Andrew M.The Benefit of Recombination in Noisy Evolutionary Search. International Symposium of Algorithms and Computation (ISAAC) 2015: 140-150
     

2014 [ to top ]

  • The unbiased black-box co... - Download
    Doerr, Benjamin; Doerr, Carola; Kötzing, TimoThe unbiased black-box complexity of partition is polynomial. Artificial Intelligence 2014: 275-286
     
  • The Max problem revisited... - Download
    Kötzing, Timo; Sutton, Andrew M.; Neumann, Frank; O'Reilly, Una-MayThe Max problem revisited: The importance of mutation in genetic programming. Theoretical Computer Science 2014: 94-107
     
  • Iterative learning from p... - Download
    Kötzing, TimoIterative learning from positive data and counters. Theoretical Computer Science 2014: 155-169
     
  • A Map of Update Constrain... - Download
    Kötzing, Timo; Palenta, RaphaelaA Map of Update Constraints in Inductive Inference. Algorithmic Learning Theory (ALT) 2014: 40-54
     
  • On the Role of Update Con... - Download
    Jain, Sanjay; Kötzing, Timo; Ma, Junqi; Stephan, FrankOn the Role of Update Constraints and Text-Types in Iterative Learning. Algorithmic Learning Theory (ALT) 2014: 55-69
     
  • Unbiased black-box comple... - Download
    Doerr, Benjamin; Doerr, Carola; Kötzing, TimoUnbiased black-box complexities of jump functions: how to cross large plateaus. Genetic and Evolutionary Computation Conference (GECCO) 2014: 769-776
     
  • Robustness of populations... - Download
    Gießen, Christian; Kötzing, TimoRobustness of populations in stochastic environments. Genetic and Evolutionary Computation Conference (GECCO) 2014: 1383-1390
     
  • Concentration of first hi... - Download
    Kötzing, TimoConcentration of first hitting times under additive drift. Genetic and Evolutionary Computation Conference (GECCO) 2014: 1391-1398
     
  • A Solution to Wiehagen's ... - Download
    Kötzing, TimoA Solution to Wiehagen's Thesis. Symposium on Theoretical Aspects of Computer Science (STACS) 2014: 494-505
     

2013 [ to top ]

  • More effective crossover ... - Download
    Doerr, Benjamin; Johannsen, Daniel; Kötzing, Timo; Neumann, Frank; Theile, MadeleineMore effective crossover operators for the all-pairs shortest path problem. Theoretical Computer Science 2013: 12-26
     
  • Black-box complexities of... - Download
    Doerr, Benjamin; Kötzing, Timo; Lengler, Johannes; Winzen, CarolaBlack-box complexities of combinatorial problems. Theoretical Computer Science 2013: 84-106
     
  • Memory-limited non-U-shap... - Download
    Case, John; Kötzing, TimoMemory-limited non-U-shaped learning with solved open problems. Theoretical Computer Science 2013: 100-123
     
  • Topological Separations i... - Download
    Case, John; Kötzing, TimoTopological Separations in Inductive Inference. Algorithmic Learning Theory (ALT) 2013: 128-142
     
  • Optimizing expected path ... - Download
    Feldmann, Matthias; Kötzing, TimoOptimizing expected path lengths with ant colony optimization using fitness proportional update. Foundations of Genetic Algorithms (FOGA) 2013: 65-74
     
  • An effective heuristic fo... - Download
    Benz, Florian; Kötzing, TimoAn effective heuristic for the smallest grammar problem. Genetic and Evolutionary Computation Conference (GECCO) 2013: 487-494
     
  • Fast learning of restrict... - Download
    Freydenberger, Dominik D.; Kötzing, TimoFast learning of restricted regular expressions and DTDs. International Conference on Database Theory (ICDT) 2013: 45-56
     
  • A Normal Form for Argumen... - Download
    Croitoru, Cosmina; Kötzing, TimoA Normal Form for Argumentation Frameworks. Theorie and Applications of Formal Argumentation (TAFA) 2013: 32-45
     
  • MenuOptimizer: interactiv... - Download
    Bailly, Gilles; Oulasvirta, Antti; Kötzing, Timo; Hoppe, SabrinaMenuOptimizer: interactive optimization of menu systems. User Interface Software and Technology (UIST) 2013: 331-342
     

2012 [ to top ]

  • Learning secrets interact... - Download
    Case, John; Kötzing, TimoLearning secrets interactively. Dynamic modeling in inductive inference. Information and Computation 2012: 60-73
     
  • Efficient Key Pathway Min... - Download
    Alcaraz, Nicolas; Friedrich, Tobias; Kötzing, Timo; Krohmer, Anton; Müller, Joachim; Pauling, Josch; Baumbach, JanEfficient Key Pathway Mining: Combining Networks and OMICS Data. Integrative Biology 2012: 756-764
     
  • Computability-Theoretic L... - Download
    Case, John; Kötzing, TimoComputability-Theoretic Learning Complexity. Philosophical Transactions of the Royal Society A 2012: 3570-3596
     
  • Theoretical analysis of t... - Download
    Kötzing, Timo; Neumann, Frank; Röglin, Heiko; Witt, CarstenTheoretical analysis of two ACO approaches for the traveling salesman problem. Swarm Intelligence 2012: 1-21
     
  • Learning in the limit wit... - Download
    Heinz, Jeffrey; Kasprzik, Anna; Kötzing, TimoLearning in the limit with lattice-structured hypothesis spaces. Theoretical Computer Science 2012: 111-127
     
  • Enlarging Learnable Class... - Download
    Jain, Sanjay; Kötzing, Timo; Stephan, FrankEnlarging Learnable Classes. Algorithmic Learning Theory (ALT) 2012: 36-50
     
  • Ants easily solve stochas... - Download
    Doerr, Benjamin; Hota, Ashish; Kötzing, TimoAnts easily solve stochastic shortest path problems. Genetic and Evolutionary Computation Conference (GECCO) 2012: 17-24
     
  • Efficient Algorithms for ... - Download
    Baumbach, Jan; Friedrich, Tobias; Kötzing, Timo; Krohmer, Anton; Müller, Joachim; Pauling, JoschEfficient Algorithms for Extracting Biological Key Pathways with Global Constraints. Genetic and Evolutionary Computation Conference (GECCO) 2012: 169-176
     
  • The max problem revisited... - Download
    Kötzing, Timo; Sutton, Andrew M.; Neumann, Frank; O'Reilly, Una-MayThe max problem revisited: the importance of mutation in genetic programming. Genetic and Evolutionary Computation Conference (GECCO) 2012: 1333-1340
     
  • ACO Beats EA on a Dynamic... - Download
    Kötzing, Timo; Molter, HendrikACO Beats EA on a Dynamic Pseudo-Boolean Function. Parallel Problem Solving from Nature (PPSN) 2012: 113-122
     
  • Deliberative Acceptabilit... - Download
    Croitoru, Cosmina; Kötzing, TimoDeliberative Acceptability of Arguments. Starting AI Researcher Symposium (STAIRS) 2012: 71-82
     

2011 [ to top ]

  • Iterative Learning from P... - Download
    Kötzing, TimoIterative Learning from Positive Data and Counters. Algorithmic Learning Theory (ALT) 2011: 40-54
     
  • Faster black-box algorith... - Download
    Doerr, Benjamin; Johannsen, Daniel; Kötzing, Timo; Lehre, Per Kristian; Wagner, Markus; Winzen, CarolaFaster black-box algorithms through higher arity operators. Foundations of Genetic Algorithms (FOGA) 2011: 163-172
     
  • Simple max-min ant system... - Download
    Kötzing, Timo; Neumann, Frank; Sudholt, Dirk; Wagner, MarkusSimple max-min ant systems and the optimization of linear pseudo-boolean functions. Foundations of Genetic Algorithms (FOGA) 2011: 209-218
     
  • Black-box complexities of... - Download
    Doerr, Benjamin; Lengler, Johannes; Kötzing, Timo; Winzen, CarolaBlack-box complexities of combinatorial problems. Genetic and Evolutionary Computation Conference (GECCO) 2011: 981-988
     
  • How crossover helps in ps... - Download
    Kötzing, Timo; Sudholt, Dirk; Theile, MadeleineHow crossover helps in pseudo-boolean optimization. Genetic and Evolutionary Computation Conference (GECCO) 2011: 989-996
     
  • Too fast unbiased black-b... - Download
    Doerr, Benjamin; Kötzing, Timo; Winzen, CarolaToo fast unbiased black-box algorithms. Genetic and Evolutionary Computation Conference (GECCO) 2011: 2043-2050
     
  • PAC learning and genetic ... - Download
    Kötzing, Timo; Neumann, Frank; Spöhel, RetoPAC learning and genetic programming. Genetic and Evolutionary Computation Conference (GECCO) 2011: 2091-2096
     
  • Measuring Learning Comple... - Download
    Case, John; Kötzing, TimoMeasuring Learning Complexity with Criteria Epitomizers. Symposium on Theoretical Aspects of Computer Science (STACS) 2011: 320-331
     

2010 [ to top ]

  • Solutions to Open Questio... - Download
    Case, John; Kötzing, TimoSolutions to Open Questions for Non-U-Shaped Learning with Memory Limitations. Algorithmic Learning Theory (ALT) 2010: 285-299
     
  • Theoretical Properties of... - Download
    Kötzing, Timo; Neumann, Frank; Röglin, Heiko; Witt, CarstenTheoretical Properties of Two ACO Approaches for the Traveling Salesman Problem. International Conference on Swarm Intelligence (ANTS) 2010: 324-335
     
  • Strongly Non-U-Shaped Lea... - Download
    Case, John; Kötzing, TimoStrongly Non-U-Shaped Learning Results by General Techniques. Conference On Learning Theory (COLT) 2010: 181-193
     
  • Ant colony optimization a... - Download
    Kötzing, Timo; Lehre, Per Kristian; Neumann, Frank; Oliveto, Pietro SimoneAnt colony optimization and the minimum cut problem. Genetic and Evolutionary Computation Conference (GECCO) 2010: 1393-1400
     
  • String Extension Learning... - Download
    Kasprzik, Anna; Kötzing, TimoString Extension Learning Using Lattices. Language and Automata Theory and Applications (LATA) 2010: 380-391
     
  • More Effective Crossover ... - Download
    Doerr, Benjamin; Johannsen, Daniel; Kötzing, Timo; Neumann, Frank; Theile, MadeleineMore Effective Crossover Operators for the All-Pairs Shortest Path Problem. Parallel Problem Solving from Nature (PPSN) 2010: 184-193
     

2009 [ to top ]

  • Difficulties in Forcing F... - Download
    Case, John; Kötzing, TimoDifficulties in Forcing Fairness of Polynomial Time Inductive Inference. Algorithmic Learning Theory (ALT) 2009: 263-277
     

2008 [ to top ]

  • Dynamically Delayed Postd... - Download
    Case, John; Kötzing, TimoDynamically Delayed Postdictive Completeness and Consistency in Learning. Algorithmic Learning Theory (ALT) 2008: 389-403
     
  • Dynamic Modeling in Induc... - Download
    Case, John; Kötzing, TimoDynamic Modeling in Inductive Inference. Algorithmic Learning Theory (ALT) 2008: 404-418
     

2007 [ to top ]

  • Feasible Iteration of Fea... - Download
    Case, John; Kötzing, Timo; Paddock, ToddFeasible Iteration of Feasible Learning Functionals. Algorithmic Learning Theory (ALT) 2007: 34-48