Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert

[1]  Ronald A. Howard,et al.  Influence Diagrams , 2005, Decis. Anal..

[2]  Martin Pelikan,et al.  Bayesian Optimization Algorithm , 2005 .

[3]  David Maxwell Chickering,et al.  Learning Bayesian Networks: The Combination of Knowledge and Statistical Data , 1994, Machine Learning.

[4]  D. Geiger,et al.  Learning Bayesian networks: The combination of knowledge and statistical data , 1994, Machine Learning.

[5]  David E. Goldberg,et al.  Bayesian Optimization Algorithm: From Single Level to Hierarchy , 2002 .

[6]  J. A. Lozano,et al.  Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .

[7]  David E. Goldberg,et al.  Bayesian optimization algorithm, decision graphs, and Occam's razor , 2001 .

[8]  Erick Cantú-Paz,et al.  Supervised and unsupervised discretization methods for evolutionary algorithms , 2001 .

[9]  Franz Rothlauf,et al.  Towards a theory of representations for genetic and evolutionary algorithms - development of basic concepts and their application to binary and tree representations , 2001, Ausgezeichnete Informatikdissertationen.

[10]  Kumara Sastry,et al.  Efficient Atomic Cluster Optimization Using A Hybrid Extended Compact Genetic Algorithm With Seeded , 2001 .

[11]  David E. Goldberg,et al.  Linkage Problem, Distribution Estimation, and Bayesian Networks , 2000, Evolutionary Computation.

[12]  David E. Goldberg,et al.  Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence , 2000, GECCO.

[13]  P. Bosman,et al.  Continuous iterated density estimation evolutionary algorithms within the IDEA framework , 2000 .

[14]  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).

[15]  David E. Goldberg,et al.  Linkage Identification by Non-monotonicity Detection for Overlapping Functions , 1999, Evolutionary Computation.

[16]  D. Goldberg,et al.  BOA: the Bayesian optimization algorithm , 1999 .

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

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

[19]  H. Kargupta Search, polynomial complexity, and the fast messy genetic algorithm , 1996 .

[20]  H. Mühlenbein,et al.  From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.

[21]  Nikolaus Hansen,et al.  Adapting arbitrary normal mutation distributions in evolution strategies: the covariance matrix adaptation , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

[22]  Hillol Kargupta,et al.  The Gene Expression Messy Genetic Algorithm , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

[23]  Thomas Bäck,et al.  Evolutionary Algorithms in Theory and Practice , 1996 .

[24]  Thomas Bäck,et al.  Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms , 1996 .

[25]  David E. Goldberg,et al.  Learning Linkage , 1996, FOGA.

[26]  Hans-Georg Beyer,et al.  Toward a Theory of Evolution Strategies: Self-Adaptation , 1995, Evolutionary Computation.

[27]  Nikolaus Hansen,et al.  On the Adaptation of Arbitrary Normal Mutation Distributions in Evolution Strategies: The Generating Set Adaptation , 1995, ICGA.

[28]  Günter Rudolph,et al.  Contemporary Evolution Strategies , 1995, ECAL.

[29]  Hans-Georg Beyer,et al.  Toward a Theory of Evolution Strategies: On the Benefits of Sex the (/, ) Theory , 1995, Evolutionary Computation.

[30]  Ingo Rechenberg,et al.  Evolutionsstrategie '94 , 1994, Werkstatt Bionik und Evolutionstechnik.

[31]  Kalyanmoy Deb,et al.  RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms , 1993, ICGA.

[32]  Kalyanmoy Deb,et al.  Don't Worry, Be Messy , 1991, ICGA.

[33]  David E. Goldberg,et al.  Real-coded Genetic Algorithms, Virtual Alphabets, and Blocking , 1991, Complex Syst..

[34]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[35]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

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

[37]  Hans-Paul Schwefel,et al.  Numerical optimization of computer models , 1981 .

[38]  Dipl. Ing. Karl Heinz Kellermayer NUMERISCHE OPTIMIERUNG VON COMPUTER-MODELLEN MITTELS DER EVOLUTIONSSTRATEGIE Hans-Paul Schwefel Birkhäuser, Basel and Stuttgart, 1977 370 pages Hardback SF/48 ISBN 3-7643-0876-1 , 1977 .

[39]  W. Vent,et al.  Rechenberg, Ingo, Evolutionsstrategie — Optimierung technischer Systeme nach Prinzipien der biologischen Evolution. 170 S. mit 36 Abb. Frommann‐Holzboog‐Verlag. Stuttgart 1973. Broschiert , 1975 .

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

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