Artificial Evolution

[1]  T. Jukes,et al.  The neutral theory of molecular evolution. , 2000, Genetics.

[2]  Christian M. Reidys,et al.  Elements of a theory of simulation II: sequential dynamical systems , 2000, Appl. Math. Comput..

[3]  Jin-Kao Hao,et al.  A measure of combinational landscape difficulty for the Metropolis algorithm , 2000, AI&M.

[4]  Marc Schoenauer,et al.  Individual GP: an Alternative Viewpoint for the Resolution of Complex Problems , 1999, GECCO.

[5]  Marc Schoenauer,et al.  PARAMETRIC CODING VS GENETIC PROGRAMMING : A CASE STUDY , 1999 .

[6]  Hajime Kita,et al.  Adaptation to a Changing Environment by Means of the Thermodynamical Genetic Algorithm , 1999 .

[7]  Anne Spalanzani,et al.  Evolution, Learning and Speech Recognition in Changing Acoustic Environments , 1998, PPSN.

[8]  Zbigniew Michalewicz,et al.  Inver-over Operator for the TSP , 1998, PPSN.

[9]  Michèle Sebag,et al.  Extending Population-Based Incremental Learning to Continuous Search Spaces , 1998, PPSN.

[10]  Cyril Fonlupt,et al.  A Bit-Wise Epistasis Measure for Binary Search Spaces , 1998, PPSN.

[11]  Michèle Sebag,et al.  Revisiting the Memory of Evolution , 1998, Fundam. Informaticae.

[12]  Jean-Paul Delahaye,et al.  Complete Classes of Strategies for the Classical Iterated Prisoner's Dilemma , 1998, Evolutionary Programming.

[13]  Josef Hofbauer,et al.  Evolutionary Games and Population Dynamics , 1998 .

[14]  M. C. Sinclair.  Minimum cost routing and wavelength allocation using a genetic-algorithm/heuristic hybrid approach , 1998 .

[15]  Jin-Kao Hao,et al.  Tabu Search for Maximal Constraint Satisfaction Problems , 1997, CP.

[16]  Ralf Salomon,et al.  Adaptation on the Evolutionary Time Scale: A Working Hypothesis and Basic Experiments , 1997, Artificial Evolution.

[17]  É. Taillard,et al.  Adaptive memories for the Quadratic Assignment Problems , 1997 .

[18]  W. Hordijk.  Correlation analysis of the synchronizing-CA landscape , 1997 .

[19]  T. Stützle,et al.  MAX-MIN Ant System and local search for the traveling salesman problem , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

[20]  M. Sebag,et al.  A society of hill-climbers , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

[21]  David H. Wolpert,et al.  No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[22]  Thomas Bäck,et al.  Evolutionary computation: comments on the history and current state , 1997, IEEE Trans. Evol. Comput..

[23]  Luca Maria Gambardella,et al.  Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..

[24]  D. Fogel.  Evolutionary algorithms in theory and practice , 1997, Complex..

[25]  Laurent Krähenbühl,et al.  Genetic algorithm coupled with a deterministic method for optimization in electromagnetics , 1997 .

[26]  Léon J. M. Rothkrantz,et al.  Ant-Based Load Balancing in Telecommunications Networks , 1996, Adapt. Behav..

[27]  Trevor D. Collins.  Using Software Visualisation Technology to Help Evolutionary Algorithm Users Validate Their Solutions , 1997, ICGA.

[28]  Shigenobu Kobayashi,et al.  Edge Assembly Crossover: A High-Power Genetic Algorithm for the Travelling Salesman Problem , 1997, ICGA.

[29]  Charlotte K. Hemelrijk,et al.  Cooperation Without Genes, Games Or Cognition , 1997 .

[30]  L. Barnett.  TANGLED WEBS Evolutionary Dynamics on Fitness Landscapes with Neutrality , 1997 .

[31]  Frédérick Garcia,et al.  USING EXTENDED MACHINE LEARNING AND SIMULATION TECHNICS TO DESIGN CROP MANAGEMENT STRATEGIES , 1997 .

[32]  Mohamed Slimane,et al.  On Using Interactive Genetic Algorithms for Knowledge Discovery in Databases , 1997, ICGA.

[33]  Corso Elvezia,et al.  Ant colonies for the traveling salesman problem , 1997 .

[34]  Marc Schoenauer,et al.  Alternative Random Initialization in Genetic Algorithms , 1997, ICGA.

[35]  F. Aida,et al.  Max{min Ant System for Quadratic Assignemnt Problems Max{min Ant System for Quadratic Assignment Problems , 1997 .

[36]  Jean-Marc Geib,et al.  Parallel adaptive tabu search for large optimization problems , 1997 .

[37]  Michèle Sebag,et al.  Evolutionary identification of macro-mechanical models , 1996 .

[38]  H T Powell,et al.  Designing fully continuous phase screens for tailoring focal-plane irradiance profiles. , 1996, Optics letters.

[39]  Y. Lin,et al.  Design of continuous surface-relief phase plates by surface-based simulated annealing to achieve control of focal-plane irradiance. , 1996, Optics letters.

[40]  Patrick D. Surry,et al.  Formal Algorithms + Formal Representations = Search Strategies , 1996, PPSN.

[41]  Peter D. Turney,et al.  Evolution, Learning, and Instinct: 100 Years of the Baldwin Effect , 1996, Evolutionary Computation.

[42]  Giles Mayley,et al.  Landscapes, Learning Costs, and Genetic Assimilation , 1996, Evolutionary Computation.

[43]  José del R. Millán,et al.  Learning Signaling Behaviors and Specialization in Cooperative Agents , 1996, Adapt. Behav..

[44]  Stefano Nolfi,et al.  Learning to Adapt to Changing Environments in Evolving Neural Networks , 1996, Adapt. Behav..

[45]  Andrew W. Moore,et al.  Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..

[46]  Patrick D. Surry,et al.  Inoculation to Initialise Evolutionary Search , 1996, Evolutionary Computing, AISB Workshop.

[47]  Zbigniew Michalewicz,et al.  Evolutionary Algorithms for Constrained Parameter Optimization Problems , 1996, Evolutionary Computation.

[48]  Marco Dorigo,et al.  Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[49]  M. Huynen,et al.  Smoothness within ruggedness: the role of neutrality in adaptation. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[50]  W Ebeling,et al.  Smoothing representation of fitness landscapes--the genotype-phenotype map of evolution. , 1995, Bio Systems.

[51]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.

[52]  Philippe Mathieu,et al.  Our Meeting with Gradual, A Good Strategy for the Iterated Prisoner's Dilemma , 1996 .

[53]  Wolfgang Banzhaf,et al.  Interactive Evolution in the framework of Simulated Natural Evolution , 1996 .

[54]  Toby Walsh,et al.  Scaling Effects in the CSP Phase Transition , 1995, CP.

[55]  Raphaël Cerf,et al.  An Asymptotic Theory of Genetic Algorithms , 1995, Artificial Evolution.

[56]  Marc Schoenauer,et al.  Genetic Operators for Two-Dimensional Shape Optimization , 1995, Artificial Evolution.

[57]  S. Baluja.  An Empirical Comparison of Seven Iterative and Evolutionary Function Optimization Heuristics , 1995 .

[58]  Philippe Collard,et al.  Relational Schemata: A Way to Improve the Expressiveness of Classifiers , 1995, ICGA.

[59]  Terry Jones,et al.  Fitness Distance Correlation as a Measure of Problem Difficulty for Genetic Algorithms , 1995, ICGA.

[60]  Stewart W. Wilson.  Classifier Fitness Based on Accuracy , 1995, Evolutionary Computation.

[61]  Hyun Myung,et al.  Preliminary Investigations into a Two-State Method of Evolutionary Optimization on Constrained Problems , 1995, Evolutionary Programming.

[62]  D. Wolpert,et al.  No Free Lunch Theorems for Search , 1995 .

[63]  Charles C. Palmer,et al.  An approach to a problem in network design using genetic algorithms , 1994, Networks.

[64]  Kenneth D. Boese,et al.  Cost Versus Distance In the Traveling Salesman Problem , 1995 .

[65]  Thomas Bäck,et al.  Evolution Strategies for Mixed-Integer Optimization of Optical Multilayer Systems , 1995, Evolutionary Programming.

[66]  Evelyne Lutton,et al.  A genetic algorithm for the detection of 2D geometric primitives in images , 1994, Proceedings of 12th International Conference on Pattern Recognition.

[67]  L. Darrell Whitley,et al.  Lamarckian Evolution, The Baldwin Effect and Function Optimization , 1994, PPSN.

[68]  Martin D. Levine,et al.  Geometric Primitive Extraction Using a Genetic Algorithm , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[69]  Andrew B. Kahng,et al.  A new adaptive multi-start technique for combinatorial global optimizations , 1994, Oper. Res. Lett..

[70]  Philippe Collard,et al.  DGA: An Efficient Genetic Algorithm , 1994, ECAI.

[71]  Barbara M. Smith,et al.  The Phase Transition and the Mushy Region in Constraint Satisfaction Problems , 1994, ECAI.

[72]  Jeffrey L. Elman,et al.  Learning and Evolution in Neural Networks , 1994, Adapt. Behav..

[73]  Bryant A. Julstrom,et al.  Seeding the population: improved performance in a genetic algorithm for the rectilinear Steiner problem , 1993, SAC '94.

[74]  Brigitte Jaumard,et al.  Local Optima Topology for the k-Coloring Problem , 1991, Discret. Appl. Math..

[75]  Pascal Lafon.  Conception optimale de systèmes mécaniques : optimisation en variables mixtes , 1994 .

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

[77]  Philippe Mathieu,et al.  Complex Strategies in the Iterated Prisoner's Dilemma , 1994 .

[78]  W. E. Fann.  Prisoner's Dilemma: John von Neumann, Game Theory, and the Puzzle of the Bomb , 1993 .

[79]  J W Donahoe,et al.  A selectionist approach to reinforcement. , 1993, Journal of the experimental analysis of behavior.

[80]  Andrew Sears,et al.  Layout Appropriateness: A Metric for Evaluating User Interface Widget Layout , 1993, IEEE Trans. Software Eng..

[81]  John J. Grefenstette,et al.  Genetic Algorithms for Tracking Changing Environments , 1993, ICGA.

[82]  Marco Dorigo,et al.  Genetic and Non-Genetic Operators in ALECSYS , 1993, Evolutionary Computation.

[83]  Thomas Bäck,et al.  An Overview of Evolutionary Algorithms for Parameter Optimization , 1993, Evolutionary Computation.

[84]  W. Fairney.  Power generation in the 1990s , 1993 .

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

[86]  Marco Dorigo,et al.  Genetics-based machine learning and behavior-based robotics: a new synthesis , 1993, IEEE Trans. Syst. Man Cybern..

[87]  John H. Nachbar,et al.  Evolution in the finitely repeated prisoner's dilemma , 1992 .

[88]  Stephen Todd,et al.  Evolutionary Art and Computers , 1992 .

[89]  Kristian Lindgren,et al.  Evolutionary phenomena in simple dynamics , 1992 .

[90]  Gerhard Reinelt,et al.  TSPLIB - A Traveling Salesman Problem Library , 1991, INFORMS J. Comput..

[91]  Éric D. Taillard,et al.  Robust taboo search for the quadratic assignment problem , 1991, Parallel Comput..

[92]  Bernard Manderick,et al.  The Genetic Algorithm and the Structure of the Fitness Landscape , 1991, ICGA.

[93]  Craig Caldwell,et al.  Tracking a Criminal Suspect Through "Face-Space" with a Genetic Algorithm , 1991, ICGA.

[94]  Joshua R. Smith.  Designing Biomorphs with an Interactive Genetic Algorithm , 1991, ICGA.

[95]  Nicholas J. Radcliffe,et al.  Forma Analysis and Random Respectful Recombination , 1991, ICGA.

[96]  Jadranka Skorin-Kapov,et al.  Tabu Search Applied to the Quadratic Assignment Problem , 1990, INFORMS J. Comput..

[97]  Richard S. Sutton,et al.  Time-Derivative Models of Pavlovian Reinforcement , 1990 .

[98]  Guy Theraulaz,et al.  Behavioural Profiles in Polistes Dominulus (Christ) Wasp Societies: a Quantitative Study , 1990 .

[99]  Richard J. Wallace,et al.  Partial Constraint Satisfaction , 1989, IJCAI.

[100]  James A. McHugh,et al.  Algorithmic Graph Theory , 1986 .

[101]  M Nowak,et al.  Oscillations in the evolution of reciprocity. , 1989, Journal of theoretical biology.

[102]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[103]  Clive Richards,et al.  The Blind Watchmaker , 1987, Bristol Medico-Chirurgical Journal.

[104]  N. Biggs.  THE TRAVELING SALESMAN PROBLEM A Guided Tour of Combinatorial Optimization , 1986 .

[105]  S. Kirkpatrick,et al.  Configuration space analysis of travelling salesman problems , 1985 .

[106]  R. W. Mayne,et al.  Monotonicity Analysis and the Reduced Gradient Method in Constrained Optimization , 1984 .

[107]  W. Hamilton,et al.  The evolution of cooperation. , 1984, Science.

[108]  R. Haralick.  Using perspective transformations in scene analysis , 1980 .

[109]  Donald Bernard Gennery,et al.  Modelling the environment of an exploring vehicle by means of stereo vision , 1980 .

[110]  Jan Karel Lenstra,et al.  The complexity of the network design problem , 1978, Networks.

[111]  R. Lewontin.  ‘The Selfish Gene’ , 1977, Nature.

[112]  Douglass J. Wilde,et al.  Monotonicity and Dominance in Optimal Hydraulic Cylinder Design , 1975 .

[113]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[114]  T. C. Hu.  Optimum Communication Spanning Trees , 1974, SIAM J. Comput..

[115]  R. Rockafellar.  Augmented Lagrange Multiplier Functions and Duality in Nonconvex Programming , 1974 .

[116]  C. Brooke Worth,et al.  The Insect Societies , 1973 .

[117]  D F Hake,et al.  Analysis of the control exerted by a complex cooperation procedure. , 1973, Journal of the experimental analysis of behavior.

[118]  R. Fletcher,et al.  A New Approach to Variable Metric Algorithms , 1970, Comput. J..

[119]  J J Boren,et al.  An experimental social relation between two monkeys. , 1966, Journal of the experimental analysis of behavior.

[120]  W. Hamilton.  The genetical evolution of social behaviour. I. , 1964, Journal of theoretical biology.

[121]  J. B. Sidowski,et al.  Reward and punishment in a minimal social situation. , 1957, Journal of experimental psychology.

[122]  J. B. Sidowski,et al.  The influence of reinforcement and punishment in a minimal social situation. , 1956, Journal of abnormal psychology.

[123]  J. Neumann,et al.  Theory of games and economic behavior , 1945, 100 Years of Math Milestones.

[124]  W. Brown.  Animal Intelligence: Experimental Studies , 1912, Nature.