The shape of evolutionary search: discovering and representingsearch space structure

[1]  Manuel Laguna,et al.  Tabu Search , 1997 .

[2]  Ehl Emile Aarts,et al.  Simulated annealing and Boltzmann machines , 2003 .

[3]  Márk Jelasity,et al.  UEGO, an Abstract Clustering Technique for Multimodal Global Optimization , 2001, J. Heuristics.

[4]  Márk Jelasity,et al.  Two Approaches for Parallelizing the UEGO Algorithm , 2001 .

[5]  Márk Jelasity.  Towards Automatic Domain Knowledge Extraction for Evolutionary Heuristics , 2000, PPSN.

[6]  A. Percus,et al.  Nature's Way of Optimizing , 1999, Artif. Intell..

[7]  Fernando G. Lobo,et al.  A Survey of Optimization by Building and Using Probabilistic Models , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

[8]  L. Kallel,et al.  Comparison of Summary Statistics of Fitness Landscapes , 2000 .

[9]  Michael D. Vose,et al.  The simple genetic algorithm - foundations and theory , 1999, Complex adaptive systems.

[10]  Márk Jelasity,et al.  The adaptationist stance and evolutionary computation , 1999, GECCO.

[11]  T. Vinkó,et al.  Characterizations of trajectory structure of fitness landscapes based on pairwise transition probabilities of solutions , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[12]  Masaharu Munetomo,et al.  Identifying Linkage Groups by Nonlinearity/Non-monotonicity Detection , 1999 .

[13]  Victor J. Rayward-Smith,et al.  Fitness Distance Correlation and Ridge Functions , 1998, PPSN.

[14]  Leila Kallel,et al.  Inside GA Dynamics: Ground Basis for Comparison , 1998, PPSN.

[15]  Jano I. van Hemert,et al.  Graph Coloring with Adaptive Evolutionary Algorithms , 1998, J. Heuristics.

[16]  Donald H. House,et al.  Genshade: an evolutionary approach to automatic and interactive procedural texture generation , 1998 .

[17]  Lee Altenberg,et al.  Fitness Distance Correlation Analysis: An Instructive Counterexample , 1997, ICGA.

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

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

[20]  Márk Jelasity.  A Wave Analysis of the Subset Sum Problem , 1997, ICGA.

[21]  Georges R. Harik,et al.  Foundations of Genetic Algorithms , 1997 .

[22]  Hisao Ishibuchi,et al.  Effectiveness of Genetic Local Search Algorithms , 1997, ICGA.

[23]  Fred Glover,et al.  Tabu Search and Adaptive Memory Programming — Advances, Applications and Challenges , 1997 .

[24]  Thomas G. Dietterich.  What is machine learning? , 2020, Archives of Disease in Childhood.

[25]  Márk Jelasity,et al.  Implicit Formae in Genetic Algorithms , 1996, PPSN.

[26]  Dirk Thierens,et al.  Non-redundant genetic coding of neural networks , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

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

[28]  Mutsunori Yagiura,et al.  Genetic and Local Search Algorithms as Robust and Simple Optimization Tools , 1996 .

[29]  Martin Wattenberg,et al.  Stochastic Hillclimbing as a Baseline Mathod for Evaluating Genetic Algorithms , 1995, NIPS.

[30]  Simon M. Lucas.  Towards the open ended evolution of neural networks , 1995 .

[31]  Sam Kwong,et al.  Genetic structure for NN topology and weights optimization , 1995 .

[32]  G. Venturini.  GA consistently deceptive functions are not challenging problems , 1995 .

[33]  S. J. Flockton,et al.  Modelling the behaviour of the genetic algorithm , 1995 .

[34]  J. Kingdon,et al.  The shape of space , 1995 .

[35]  Márk Jelasity,et al.  GAs, a Concept of Modeling Species in Genetic Algorithms , 1995, Artificial Evolution.

[36]  John N. Hooker,et al.  Testing heuristics: We have it all wrong , 1995, J. Heuristics.

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

[38]  A. E. Eiben,et al.  A unifying approach to heuristic search , 1995, Ann. Oper. Res..

[39]  Hans-Paul Schwefel,et al.  Evolution and optimum seeking , 1995, Sixth-generation computer technology series.

[40]  Lothar Thiele,et al.  A Comparison of Selection Schemes used in Genetic Algorithms , 1995 .

[41]  E. Sober,et al.  Reintroducing group selection to the human behavioral sciences , 1994 .

[42]  A. E. Eiben,et al.  Genetic algorithms with multi-parent recombination , 1994, PPSN.

[43]  Kalyanmoy Deb,et al.  Long Path Problems , 1994, PPSN.

[44]  Lee Altenberg,et al.  Evolving better representations through selective genome growth , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

[45]  Emanuel Falkenauer,et al.  A New Representation and Operators for Genetic Algorithms Applied to Grouping Problems , 1994, Evolutionary Computation.

[46]  Sami Khuri,et al.  Walsh and Haar functions in genetic algorithms , 1994, SAC '94.

[47]  Thomas Bäck,et al.  An evolutionary approach to combinatorial optimization problems , 1994, CSC '94.

[48]  Alexander I. Rudnicky,et al.  Survey of current speech technology , 1994, CACM.

[49]  Michael D. Vose,et al.  The Genetic Algorithm Fractal , 1993, Evolutionary Computation.

[50]  Patrick D. Surry,et al.  Fitness Variance of Formae and Performance Prediction , 1994, FOGA.

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

[52]  Emanuel Falkenauer,et al.  Setting New Limits in Bin Packing with a Grouping GA Using Reduction , 1994 .

[53]  Ralph R. Martin,et al.  A Sequential Niche Technique for Multimodal Function Optimization , 1993, Evolutionary Computation.

[54]  Joe Suzuki.  A Markov Chain Analysis on A Genetic Algorithm , 1993, ICGA.

[55]  Felicity A. W. George,et al.  A Study in Set Recombination , 1993, ICGA.

[56]  Marco Dorigo,et al.  Implicit Parallelism in Genetic Algorithms , 1993, Artif. Intell..

[57]  Xin Yao,et al.  A review of evolutionary artificial neural networks , 1993, Int. J. Intell. Syst..

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

[59]  Martin Mandischer,et al.  Representation and Evolution of Neural Networks , 1993 .

[60]  Michael D. Vose,et al.  Models of Genetic Algorithms , 1992 .

[61]  Reinhard Männer,et al.  Parallel Problem Solving from Nature 2, PPSN-II, Brussels, Belgium, September 28-30, 1992 , 1992, Parallel Problem Solving from Nature.

[62]  Kalyanmoy Deb,et al.  Ordering Genetic Algorithms and Deception , 1992, PPSN.

[63]  Nicholas J. Radcliffe,et al.  Non-Linear Genetic Representations , 1992, PPSN.

[64]  Kennetb A. De.  Genetic Algorithms Are NOT Function Optimizers , 1992 .

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

[66]  Nicholas J. Radcliffe,et al.  Equivalence Class Analysis of Genetic Algorithms , 1991, Complex Syst..

[67]  Thomas Bäck,et al.  A Survey of Evolution Strategies , 1991, ICGA.

[68]  Michael D. Vose,et al.  Isomorphisms of Genetic Algorithms , 1993, Artif. Intell..

[69]  Larry J. Eshelman,et al.  The CHC Adaptive Search Algorithm: How to Have Safe Search When Engaging in Nontraditional Genetic Recombination , 1990, FOGA.

[70]  Gilbert Syswerda,et al.  A Study of Reproduction in Generational and Steady State Genetic Algorithms , 1990, FOGA.

[71]  Gunar E. Liepins,et al.  Deceptiveness and Genetic Algorithm Dynamics , 1990, FOGA.

[72]  Yuval Davidor,et al.  Epistasis Variance: A Viewpoint on GA-Hardness , 1990, FOGA.

[73]  In Schoenauer,et al.  Parallel Problem Solving from Nature , 1990, Lecture Notes in Computer Science.

[74]  John J. Grefenstette,et al.  Conditions for Implicit Parallelism , 1990, FOGA.

[75]  Kalyanmoy Deb,et al.  A Comparative Analysis of Selection Schemes Used in Genetic Algorithms , 1990, FOGA.

[76]  Alden H. Wright,et al.  Genetic Algorithms for Real Parameter Optimization , 1990, FOGA.

[77]  S. Brison.  The Intentional Stance , 1989 .

[78]  Larry J. Eshelman,et al.  Biases in the Crossover Landscape , 1989, ICGA.

[79]  Gilbert Syswerda,et al.  Uniform Crossover in Genetic Algorithms , 1989, ICGA.

[80]  Kalyanmoy Deb,et al.  An Investigation of Niche and Species Formation in Genetic Function Optimization , 1989, ICGA.

[81]  Teuvo Kohonen,et al.  The 'neural' phonetic typewriter , 1988, Computer.

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

[83]  J. David Schaffer,et al.  Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms , 1988, ML.

[84]  Roger J.-B. Wets,et al.  Minimization by Random Search Techniques , 1981, Math. Oper. Res..

[85]  V Csányi,et al.  General theory of evolution. , 1980, Acta biologica Academiae Scientiarum Hungaricae.

[86]  S. Gould,et al.  The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[87]  Robert J. McEliece,et al.  The Theory of Information and Coding , 1979 .

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

[89]  J M Smith,et al.  Evolution and the theory of games , 1976 .

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

[91]  Ingo Rechenberg,et al.  Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution , 1973 .

[92]  R. Greenberg.  Biometry , 1969, The Yale Journal of Biology and Medicine.

[93]  Lawrence J. Fogel,et al.  Artificial Intelligence through Simulated Evolution , 1966 .

[94]  O. Antoine,et al.  Theory of Error-correcting Codes , 2022 .