Genetische Programmierung einer algorithmischen Chemie

[1]  Julian Francis Miller,et al.  Cartesian genetic programming , 2000, GECCO '10.

[2]  Conor Ryan,et al.  Grammatical evolution , 2007, GECCO '07.

[3]  Thomas Bartz-Beielstein,et al.  Experimental Research in Evolutionary Computation - The New Experimentalism , 2010, Natural Computing Series.

[4]  Michael T. M. Emmerich,et al.  Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels , 2006, IEEE Transactions on Evolutionary Computation.

[5]  Gheorghe Paun,et al.  Introduction to Membrane Computing , 2006, Applications of Membrane Computing.

[6]  Krishna V. Palem,et al.  Energy aware computing through probabilistic switching: a study of limits , 2005, IEEE Transactions on Computers.

[7]  Michael A. Lones,et al.  Biomimetic Representation with Enzyme Genetic Programming , 2002, Genetic Programming and Evolvable Machines.

[8]  W. Banzhaf,et al.  Genetic Programming of an Algorithmic Chemistry , 2005 .

[9]  Peter A. N. Bosman,et al.  Learning Probabilistic Tree Grammars for Genetic Programming , 2004, PPSN.

[10]  Gheorghe Paun,et al.  Membrane Systems: A Quick Introduction , 2004, UPP.

[11]  Jens Busch,et al.  RESAC: eine resolutionsbasierte künstliche Chemie und deren Anwendungen , 2004 .

[12]  Thomas Bartz-Beielstein,et al.  Tuning search algorithms for real-world applications: a regression tree based approach , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

[13]  Wolfgang Banzhaf,et al.  Artificial Chemistries – Towards Constructive Dynamical Systems , 2004 .

[14]  Robert V. Brill,et al.  Applied Statistics and Probability for Engineers , 2004, Technometrics.

[15]  Wolfgang Banzhaf,et al.  Software Tools for DNA Sequence Design , 2003, Genetic Programming and Evolvable Machines.

[16]  Hans-Paul Schwefel,et al.  Evolution strategies – A comprehensive introduction , 2002, Natural Computing.

[17]  William B. Langdon,et al.  Some Considerations on the Reason for Bloat , 2002, Genetic Programming and Evolvable Machines.

[18]  Julian Francis Miller,et al.  Principles in the Evolutionary Design of Digital Circuits—Part II , 2000, Genetic Programming and Evolvable Machines.

[19]  Vesselin K. Vassilev,et al.  Principles in the Evolutionary Design of Digital Circuits—Part I , 2004, Genetic Programming and Evolvable Machines.

[20]  Barry L. Nelson,et al.  Selecting the best system: theory and methods , 2003, Proceedings of the 2003 Winter Simulation Conference, 2003..

[21]  Thomas J. Santner,et al.  Design and analysis of computer experiments , 1998 .

[22]  Michael O'Neill,et al.  Grammatical evolution - evolutionary automatic programming in an arbitrary language , 2003, Genetic programming.

[23]  Chun-Hung Chen,et al.  Optimal Computing Budget Allocation of Indifference-zone-selection Procedures , 2003 .

[24]  D. Goldberg,et al.  Probabilistic Model Building and Competent Genetic Programming , 2003 .

[25]  A. E. Eiben,et al.  Introduction to Evolutionary Computing , 2003, Natural Computing Series.

[26]  Michael Adam Lones,et al.  Enzyme genetic programming : modelling biological evolvability in genetic programming , 2003 .

[27]  Gheorghe Paun,et al.  A guide to membrane computing , 2002, Theor. Comput. Sci..

[28]  Thomas Bäck,et al.  Metamodel-Assisted Evolution Strategies , 2002, PPSN.

[29]  Michèle Sebag,et al.  A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars , 2002, ILP.

[30]  Michael A. Lones,et al.  Crossover and bloat in the functionality model of enzyme genetic programming , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[31]  Wolfgang Banzhaf,et al.  Linear-Graph GP - A New GP Structure , 2002, EuroGP.

[32]  Søren Nymand Lophaven,et al.  DACE - A Matlab Kriging Toolbox , 2002 .

[33]  Edwin D. de Jong,et al.  Reducing bloat and promoting diversity using multi-objective methods , 2001 .

[34]  Wolfgang Banzhaf,et al.  Artificial ChemistriesA Review , 2001, Artificial Life.

[35]  Lothar Thiele,et al.  Multiobjective genetic programming: reducing bloat using SPEA2 , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[36]  Wolfgang Banzhaf,et al.  Linear-Tree GP and Its Comparison with Other GP Structures , 2001, EuroGP.

[37]  Wolfgang Banzhaf,et al.  A comparison of linear genetic programming and neural networks in medical data mining , 2001, IEEE Trans. Evol. Comput..

[38]  Laura F. Landweber,et al.  The past, present and future of molecular computing , 2000, Nature Reviews Molecular Cell Biology.

[39]  Pascal Fradet,et al.  Gamma and the Chemical Reaction Model: Fifteen Years After , 2000, WMP.

[40]  Gheorghe Paun,et al.  Computing with Membranes , 2000, J. Comput. Syst. Sci..

[41]  Wolfgang Banzhaf,et al.  Multi-agent systems inspired by artificial chemistries: a case study in automated theorem proving , 2000, Proceedings Fourth International Conference on MultiAgent Systems.

[42]  Chun-Hung Chen,et al.  Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization , 2000, Discret. Event Dyn. Syst..

[43]  Michael W. Trosset,et al.  Designing and Analyzing Computational Experiments for Global Optimization , 2000 .

[44]  Richard J. Beckman,et al.  A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code , 2000, Technometrics.

[45]  Wolfgang Banzhaf,et al.  Künstliche Chemie , 2000, Künstliche Intell..

[46]  Max H. Garzon,et al.  Biomolecular computing and programming , 1999, IEEE Trans. Evol. Comput..

[47]  Thomas Jansen,et al.  On the Analysis of Evolutionary Algorithms - A Proof That Crossover Really Can Help , 1999 .

[48]  Peter Nordin,et al.  Homologous Crossover in Genetic Programming , 1999, GECCO.

[49]  Wolfgang Banzhaf,et al.  The evolution of genetic code in Genetic Programming , 1999 .

[50]  J. Miller An empirical study of the efficiency of learning boolean functions using a Cartesian Genetic Programming approach , 1999 .

[51]  W. Banzhaf,et al.  Self-organization in a system of binary strings with spatial interactions , 1999 .

[52]  G. Harik Linkage Learning via Probabilistic Modeling in the ECGA , 1999 .

[53]  B. W.,et al.  Size Fair and Homologous Tree Genetic Programming Crossovers , 1999 .

[54]  Donald R. Jones,et al.  Efficient Global Optimization of Expensive Black-Box Functions , 1998, J. Glob. Optim..

[55]  Terence Soule,et al.  Effects of Code Growth and Parsimony Pressure on Populations in Genetic Programming , 1998, Evolutionary Computation.

[56]  Peter J. Angeline,et al.  Multiple Interacting Programs: a Representation for Evolving Complex Behavior , 1998, Cybern. Syst..

[57]  Riccardo Poli,et al.  Why “Building Blocks” Don’t Work on Parity Problems , 1998 .

[58]  Christopher Gathercole,et al.  An investigation of supervised learning in genetic programming , 1998 .

[59]  Terence Soule,et al.  Removal bias: a new cause of code growth in tree based evolutionary programming , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[60]  Donald R. Jones,et al.  Global versus local search in constrained optimization of computer models , 1998 .

[61]  Peter Nordin,et al.  Genetic programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications , 1998 .

[62]  Lee Spector,et al.  A Revised Comparison of Crossover and Mutation in Genetic Programming , 1998 .

[63]  Kumar Chellapilla,et al.  Evolving computer programs without subtree crossover , 1997, IEEE Trans. Evol. Comput..

[64]  Rafal Salustowicz,et al.  Probabilistic Incremental Program Evolution , 1997, Evolutionary Computation.

[65]  Astro Teller,et al.  PADO: a new learning architecture for object recognition , 1997 .

[66]  Riccardo Poli,et al.  Evolution of Graph-Like Programs with Parallel Distributed Genetic Programming , 1997, ICGA.

[67]  T. Soule,et al.  Code Size and Depth Flows in Genetic Programming , 1997 .

[68]  C. Langton An Evolutionary Approach to Synthetic Biology: Zen and the Art of Creating Life , 1997 .

[69]  W. Banzhaf,et al.  Emergent computation by catalytic reactions , 1996 .

[70]  P. Nordin,et al.  Explicitly defined introns and destructive crossover in genetic programming , 1996 .

[71]  C. Cole,et al.  The Universal Turing Machine: A Half-Century Survey , 1996, Inf. Process. Manag..

[72]  W. Banzhaf,et al.  Genetic programming using genotype-phenotype mapping from linear genomes into linear phenotypes , 1996 .

[73]  Terence Soule,et al.  Code growth in genetic programming , 1996 .

[74]  Peter W. Shor,et al.  Fault-tolerant quantum computation , 1996, Proceedings of 37th Conference on Foundations of Computer Science.

[75]  Richard K. Belew,et al.  Stochastic Context-Free Grammar Induction with a Genetic Algorithm Using Local Search , 1996, FOGA.

[76]  D. Bray Protein molecules as computational elements in living cells , 1995, Nature.

[77]  Peter Nordin,et al.  Complexity Compression and Evolution , 1995, ICGA.

[78]  Peter Nordin,et al.  Evolving Turing-Complete Programs for a Register Machine with Self-modifying Code , 1995, ICGA.

[79]  A. Tamhane Design and Analysis of Experiments for Statistical Selection, Screening, and Multiple Comparisons , 1995 .

[80]  Byoung-Tak Zhang,et al.  Balancing Accuracy and Parsimony in Genetic Programming , 1995, Evolutionary Computation.

[81]  K. Thearling,et al.  Evolution, entropy, and parallel computation , 1994, Proceedings Workshop on Physics and Computation. PhysComp '94.

[82]  L M Adleman,et al.  Molecular computation of solutions to combinatorial problems. , 1994, Science.

[83]  Wolfgang Banzhaf,et al.  Genotype-Phenotype-Mapping and Neutral Variation - A Case Study in Genetic Programming , 1994, PPSN.

[84]  L. Altenberg The evolution of evolvability in genetic programming , 1994 .

[85]  Wolfgang Banzhaf,et al.  Artificial selection in a system of self-replicating strings , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

[86]  Una-May O'Reilly,et al.  Genetic Programming II: Automatic Discovery of Reusable Programs. , 1994, Artificial Life.

[87]  Peter Nordin,et al.  A compiling genetic programming system that directly manipulates the machine-code , 1994 .

[88]  Leo W. Buss,et al.  “The arrival of the fittest”: Toward a theory of biological organization , 1994 .

[89]  Una-May O'Reilly,et al.  The Troubling Aspects of a Building Block Hypothesis for Genetic Programming , 1994, FOGA.

[90]  Lothar Thiele,et al.  Genetic Programming and Redundancy , 1994 .

[91]  Wolfgang Banzhaf,et al.  Self-Replicating Sequences of Binary Numbers: The Build-Up of Complexity , 1994, Complex Syst..

[92]  Wolfgang Banzhaf,et al.  Self-replicating sequences of binary numbers☆ , 1993 .

[93]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[94]  Wolfram Schiffmann,et al.  Application of Genetic Algorithms to the Construction of Topologies for Multilayer Perceptrons , 1993 .

[95]  Henry P. Wynn,et al.  Screening, predicting, and computer experiments , 1992 .

[96]  Steen Rasmussen,et al.  The coreworld: emergence and evolution of cooperative structures in a computational chemistry , 1990 .

[97]  M. Conrad The geometry of evolution. , 1990, Bio Systems.

[98]  Sholom M. Weiss,et al.  An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods , 1989, IJCAI.

[99]  Nichael Lynn Cramer,et al.  A Representation for the Adaptive Generation of Simple Sequential Programs , 1985, ICGA.

[100]  Michael Conrad,et al.  On design principles for a molecular computer , 1985, CACM.

[101]  S. Holm A Simple Sequentially Rejective Multiple Test Procedure , 1979 .

[102]  John W. Backus,et al.  Can programming be liberated from the von Neumann style?: a functional style and its algebra of programs , 1978, CACM.

[103]  J. von Neumann,et al.  Probabilistic Logic and the Synthesis of Reliable Organisms from Unreliable Components , 1956 .