rsantana's eda-theory [53 articles] Export

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	Research topics in discrete estimation of distribution algorithms based on factorizations [My Copy] Memetic Computing, Vol. 1, No. 1. (1 March 2009), pp. 35-54. by Roberto Santana, Pedro Larrañaga, Jose Lozano posted to eda-theory edas graphical-models graphs learning by rsantana on 2009-06-25 16:57:15 as along with 1 person and 1 group lmarti estimation_of_distribution_algorithms
	Population sizing for entropy-based model building in discrete estimation of distribution algorithms [My Copy] In GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation (2007), pp. 601-608. by Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan posted to edas eda-theory entropy by rsantana on 2007-11-01 21:29:05 as along with 1 person santi515
	Computational complexity and simulation of rare events of Ising spin glasses [My Copy] (15 Feb 2004) by Martin Pelikan, Jiri Ocenasek, Simon Trebst, Matthias Troyer, Fabien Alet posted to bayesian-edas boa edas eda-theory ising by rsantana on 2007-10-24 08:09:07 as along with 1 person and 2 groups nojhan EvolutionaryComputation Metaheuristics
	Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence) [My Copy] (2006) by Martin Pelikan, Kumara Sastry, Erick Cant&\#250;-Paz posted to boa eda-theory edas entropy evolutionary-computation fda fitness ga-theory genetic-algorithms genetic-programming graphical-models kikuchi-approximations linkage optimization selection by rsantana on 2007-06-06 11:20:54 as
	On the Convergence of an Estimation of Distribution Algorithm Based on Linkage Discovery and Factorization [My Copy] by Alden H. Wright, Sandeep posted to eda-theory edas learning by rsantana on 2007-06-05 07:58:31 as
	Properties of Fitness Functions and Search Landscapes [My Copy] In Theoretical Aspects of Evolutionary Computing (2001), pp. 175-206. by L. Kallel, B. Naudts, C. R. Reeves edited by Leila Kallel, Bart Naudts, Alex Rogers posted to complexity eda-theory evolutionary-computation by rsantana on 2007-05-29 12:43:58 as
	Scalability of the Bayesian optimization algorithm [My Copy] pp. 221-258. by M. Pelikan posted to bayesian-edas eda-theory edas by rsantana on 2007-05-18 18:44:45 as
	Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation (Genetic Algorithms and Evolutionary Computation) [My Copy] (01 October 2001) posted to bayesian bayesian-edas eda-theory edas evolutionary-computation mateda by rsantana on 2007-04-02 11:59:22 as along with 2 people kuaaaaa santi515
	Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing) [My Copy] (27 February 2006) by Jose A. Lozano, Pedro Larranaga, Inaki Inza posted to eda-theory edas entropy mateda tree by rsantana on 2007-03-30 12:40:08 as along with 2 people and 3 groups nojhan abellogin EvolutionaryComputation Metaheuristics Optimization
	Interactions and dependencies in estimation of distribution algorithms [My Copy] Evolutionary Computation, 2005. The 2005 IEEE Congress on, Vol. 2 (2005), pp. 1418-1425 Vol. 2. by R. Santana, P. Larranaga, J. A. Lozano posted to edas eda-theory tree by rsantana on 2007-03-22 10:40:45 as along with 1 person and 1 group lmarti estimation_of_distribution_algorithms
	Evaluation-relaxation schemes for genetic and evolutionary algorithms [My Copy] (2001) by K. Sastry posted to eda-theory edas genetic-algorithms by rsantana on 2007-03-19 10:36:57 as
	Analysis of Mixing in Genetic Algorithms: A Survey [My Copy] by Kumara Sastry, David E. Goldberg posted to eda-theory ga-theory linkage by rsantana on 2007-03-19 10:21:29 as
	The Science of Breeding and its Application to the Breeder Genetic Algorithm [My Copy] (1994) by H. Muhlenbein posted to eda-theory ga-theory umda by rsantana on 2007-03-09 11:08:15 as
	The sensitivity of PBIL to the learning rate, and how detailed balance can remove it [My Copy] In Foundations of Genetic Algorithms 7 (FOGA VII) (2003) by J. L. Shapiro edited by C. Cotta, De Jong, R. Poli, J. Rowe posted to pbil edas eda-theory by rsantana on 2007-02-08 17:07:19 as along with 1 person csights
	The Factorized Distribution Algorithm for additively decomposed functions [My Copy] Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on, Vol. 1 (1999) by H. Muhlenbein, T. Mahnig posted to edas eda-theory by rsantana on 2007-02-08 17:02:35 as along with 1 person dcoffin
	FDA - a scalable evolutionary algorithm for the optimization of additively decomposed functions. [My Copy] Evol Comput, Vol. 7, No. 4. (1999), pp. 353-376. by H. Muehlenbein, T. Mahnig posted to fda edas eda-theory by rsantana on 2007-02-08 16:57:23 as along with 2 people kuaaaaa dcoffin
	Drift and Scaling in Estimation of Distribution Algorithms [My Copy] Evolutionary Computation, Vol. 13, No. 1. (January 2005), pp. 99-123. by J. Shapiro posted to eda-theory edas optimization by rsantana on 2006-12-21 10:10:23 as
	Space Complexity of Estimation of Distribution Algorithms [My Copy] Evolutionary Computation, Vol. 13, No. 1. (January 2005), pp. 125-143. by Yong Gao, Joseph Culberson posted to eda-theory edas optimization by rsantana on 2006-12-21 10:09:09 as
	On the convergence of a class of estimation of distribution algorithms [My Copy] IEEE Transactions on Evolutionary Computation, Vol. 8, No. 2. (2004), pp. 127-136. by Qinfu Zhang, Heinz Mühlenbein posted to eda-theory edas umda by rsantana on 2006-12-20 19:22:37 as
	On Stability of Fixed Points of Limit Models of Univariate Marginal Distribution Algorithm and Factorized Distribution Algorithm [My Copy] IEEE Transactions on Evolutionary Computation, Vol. 8, No. 1. (2004), pp. 80-93. by Qinfu Zhang posted to eda-theory edas fda umda by rsantana on 2006-12-20 19:22:37 as
	On global convergence of FDA with proportionate selection [My Copy] In Proceedings of the Second Symposium on Artificial Intelligence (CIMAF-99) (1999), pp. 340-343. by Qinfu Zhang, Heinz Mühlenbein edited by A. Ochoa, M. R. Soto, R. Santana posted to eda-theory fda selection by rsantana on 2006-12-20 19:22:37 as
	A Bayesian Framework for Evolutionary Computation [My Copy] In Proceedings of the 1999 Congress on Evolutionary Computation CEC-1999, Vol. 1 (1999), pp. 722-728. by B. T. Zhang posted to edas eda-theory bayesian-edas by rsantana on 2006-12-20 19:22:37 as
	Evolutionary Algorithms for Dynamic Optimization Problems: An approach using Evolutionary Theory and the Incident Edge Model [My Copy] In Proceedings of the Genetic and Evolutionary Computation Conference {GECCO}-1999, Workshop Program (1999), pp. 149-152. by R. Santana, A. Ochoa, M. R. Soto edited by A. S. Wu posted to dynamic-optimization eda-theory edas graphs by rsantana on 2006-12-20 19:22:34 as
	Linkage problem, distribution estimation, and Bayesian networks [My Copy] Evolutionary Computation, Vol. 8, No. 3. (2000), pp. 311-340. by Martin Pelikan, David E. Goldberg, Erick C. Paz posted to edas eda-theory boa bayesian-edas by rsantana on 2006-12-20 19:22:29 as
	Linkage problem, distribution estimation, and Bayesian networks [My Copy] No. 98013. (1998) by Martin Pelikan, David E. Goldberg, Erick C. Paz posted to linkage edas eda-theory bayesian-edas bayesian by rsantana on 2006-12-20 19:22:26 as
	Mutation, entropy and Estimation of Distribution Algorithms- the univariate case [My Copy] Lecture Notes in Computer Science (2003) by A. Ochoa, H. Mühlenbein, M. R. Soto posted to edas eda-theory by rsantana on 2006-12-20 19:22:25 as
	A Factorized Distribution Algorithm Using Single Connected Bayesian Networks [My Copy] In Parallel Problem Solving from Nature - PPSN VI 6th International Conference (September 2000) by A. Ochoa, H. Mühlenbein, M. R. Soto edited by Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, et al.Xin Yao, Evelyne Lutton, Juan J. Merelo, Hans P. Schwefel posted to edas eda-theory bayesian-edas by rsantana on 2006-12-20 19:22:25 as
	The Factorized Distribution Algorithm and the Junction Tree: A Learning Perspective [My Copy] In Proceedings of the Second Symposium on Artificial Intelligence (CIMAF-99) (March 1999), pp. 368-377. by A. Ochoa, M. R. Soto, R. Santana, J. C. Madera, N. Jorge edited by A. Ochoa, M. R. Soto, R. Santana posted to eda-theory edas fda learning optimization by rsantana on 2006-12-20 19:22:25 as
	Linking entropy to estimation of distribution algorithms [My Copy] In Towards a {N}ew {E}volutionary {C}omputation: {A}dvances on {E}stimation of {D}istribution {A}lgorithms (2006), pp. 1-38. by A. Ochoa, M. R. Soto edited by J. A. Lozano, P. Larrañaga, I. Inza, E. Bengoetxea posted to edas eda-theory by rsantana on 2006-12-20 19:22:25 as
	The Factorized Distribution Algorithm: Initial findings [My Copy] (1999) by A. Ochoa posted to edas eda-theory by rsantana on 2006-12-20 19:22:25 as
	EBBA - Evolutionary Best Basis Algortihm [My Copy] In Proceedings of the Second International Symposium on Adaptive Systems (ISAS 99) (1999), pp. 93-98. by Alberto Ochoa posted to continuous-edas edas eda-theory fitness partial-evaluation by rsantana on 2006-12-20 19:22:25 as
	Entropy-based convergence measurement in discrete estimation of distribution algorithms [My Copy] In Towards a {N}ew {E}volutionary {C}omputation: {A}dvances on {E}stimation of {D}istribution {A}lgorithms (2006), pp. 39-50. by J. Ocenasek edited by J. A. Lozano, P. Larrañaga, I. Inza, E. Bengoetxea posted to edas eda-theory by rsantana on 2006-12-20 19:22:25 as
	Mathematical Models of Estimation of Distribution Algorithms [My Copy] (2005) by James Neil posted to edas eda-theory by rsantana on 2006-12-20 19:22:25 as
	The Estimation of Distributions and the Minimum Relative Entropy Principle [My Copy] Evolutionary Computation, Vol. 13, No. 1. (2005), pp. 1-27. by H. Mühlenbein, R. Höns posted to edas eda-theory by rsantana on 2006-12-20 19:22:25 as
	Schemata, distributions and graphical models in evolutionary optimization [My Copy] Journal of Heuristics, Vol. 5, No. 2. (1999), pp. 213-247. by H. Mühlenbein, T. Mahnig, A. Ochoa posted to edas eda-theory by rsantana on 2006-12-20 19:22:25 as
	From recombination of genes to the estimation of distributions I. Binary parameters [My Copy] In Parallel Problem Solving from Nature - {PPSN IV} (1996), pp. 178-187. by H. Mühlenbein, G. Paa\ss posted to edas eda-theory by rsantana on 2006-12-20 19:22:25 as
	From recombination of genes to the estimation of distributions I. Binary parameters [My Copy] In Parallel {P}roblem {S}olving from {N}ature - {PPSN IV} (1996), pp. 178-187. by H. Mühlenbein, G. Paa\ss edited by Hans M. Voigt, Werner Ebeling, Ingo Rechenberg, Hans P. Schwefel posted to umda edas eda-theory by rsantana on 2006-12-20 19:22:24 as
	The Factorized Distribution Algorithm for Additively Decomposed Functions [My Copy] In Proceedings of the Second Symposium on Artificial Intelligence (CIMAF-99) (March 1999), pp. 301-313. by H. Mühlenbein, T. Mahnig edited by A. Ochoa, M. R. Soto, R. Santana posted to edas eda-theory by rsantana on 2006-12-20 19:22:24 as
	FDA -- A scalable evolutionary algorithm for the optimization of additively decomposed functions [My Copy] Evolutionary Computation, Vol. 7, No. 4. (1999), pp. 353-376. by H. Mühlenbein, T. Mahnig posted to edas eda-theory by rsantana on 2006-12-20 19:22:24 as
	Convergence theory and applications of the Factorized Distribution Algorithm [My Copy] Journal of Computing and Information Technology, Vol. 7, No. 1. (1998), pp. 19-32. by H. Mühlenbein, T. Mahnig posted to edas eda-theory by rsantana on 2006-12-20 19:22:24 as
	The Equation for response to selection and its use for prediction [My Copy] Evolutionary Computation, Vol. 5, No. 3. (1997), pp. 303-346. by H. Mühlenbein posted to edas eda-theory by rsantana on 2006-12-20 19:22:24 as
	Predictive models for the breeder genetic algorithm: I. Continuous parameter optimization [My Copy] Evolutionary Computation, Vol. 1, No. 1. (1993), pp. 25-49. by H. Mühlenbein, Schlierkamp D. voosen posted to umda edas eda-theory by rsantana on 2006-12-20 19:22:24 as
	Evolutionary Algorithms and the Boltzmann distribution [My Copy] In Foundation of Genetic Algorithms 7 (2002), pp. 133-150. by H. Mühlenbein, T. Mahnig edited by K. A. Dejong, R. Poli, J. Rowe posted to edas eda-theory by rsantana on 2006-12-20 19:22:24 as
	Evolutionary Computation and Beyond [My Copy] In Foundations of Real-World Intelligence (2001), pp. 123-188. by H. Mühlenbein, T. Mahnig edited by Y. Uesaka, P. Kanerva, H. Asoh posted to edas eda-theory by rsantana on 2006-12-20 19:22:24 as
	Evolutionary Synthesis of Bayesian Networks for Optimization [My Copy] In Advances in {E}volutionary {S}ynthesis of {I}ntelligent {A}gents (2001), pp. 429-455. by H. Mühlenbein, T. Mahnig edited by Mukesh Patel, Vasant Honavar, Karthik Balakrishnan posted to edas eda-theory bayesian-edas by rsantana on 2006-12-20 19:22:24 as
	Mathematical Analysis of Evolutionary Algorithms for Optimization [My Copy] In Evolutionary Computation and Probabilistic Graphical Models. Proceedings of the Third Symposium on Adaptive Systems (ISAS-2001) (March 2001), pp. 166-185. by H. Mühlenbein, T. Mahnig posted to edas eda-theory by rsantana on 2006-12-20 19:22:24 as
	Evolutionary Optimization using Graphical Models [My Copy] New Generation Computing, Vol. 18, No. 2. (2000), pp. 157-166. by H. Mühlenbein, T. Mahnig posted to graphical-models edas eda-theory by rsantana on 2006-12-20 19:22:24 as
	Theoretical Aspects of Evolutionary Computing [My Copy] (2000), pp. 137-176. by H. Mühlenbein, T. Mahnig edited by L. Kallel, B. Naudts, A. Rogers posted to edas eda-theory by rsantana on 2006-12-20 19:22:24 as
	Mathematical analysis of optimization methods using search distributions [My Copy] (2000) by T. Mahnig, H. Mühlenbein posted to eda-theory edas by rsantana on 2006-12-20 19:22:23 as
	Populations basierte Optimierung durch das Lernen von Interaktionen mit Bayes'schen Netzen [My Copy] (2001) by Thilo Mahnig posted to edas eda-theory bayesian-edas by rsantana on 2006-12-20 19:22:23 as

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bibtex-import	329
edas	185
protein	110
genetic-algorithms	92
graphical-models	82
optimization	70
propagation	59
eda-theory	53
bioinformatics	47
learning	47
ga-theory	44
bayesian-edas	40
kikuchi-approximations	39
graphs	35
inference	34
region-graphs	33
complexity	31
entropy	31
network	27
tree	24
boa	23
fitness	19
bayesian	18
clustering	18
mixtures	18
evolutionary-computation	17
umda	17
bayesian-networks	16
continuous-edas	16
fda	16
sampling	15
markov-network	13
constraints	12
multiobjective	11
protein-design	11
partial-evaluation	10
rotamers	10
sidechains	10
approximations	9
linkage	9
neuroscience	9
factor-graphs	8
interactions	8
selection	8
genetic-programming	7
hp-model	7
markov-chains	7
modularity	7
pada	7
classifier-systems	6
data-mining	6
ising	6
mean-field	6
sat	6
adaptation	5
monte-carlo	5
turing-machines	5
aco	4
frustration	4
gaussian	4
markov-fields	4
pbil	4
schema-theory	4
testors	4
vision	4
genetics	3
gibbs-sampling	3
ipf	3
mateda	3
neural-networks	3
pattern-recognition	3
snps	3
bmda	2
cavity-method	2
classifiers	2
decimation	2
dynamic-problems	2
heuristics	2
mutation	2
neighborhood-search	2
r	2
reinforcement-learning	2
second-life	2
software	2
swarms	2
testor	2
turing-machine	2
unitation-functions	2
visualization	2
vns	2
artificial-life	1
ba	1
causality	1
chordal-graphs	1
circuit-reconstruction	1
damping	1
dimensionality-reduction	1
dynamic-optimization	1
ecga	1
fuzzy	1
ica	1
inf	1
max-configurations	1
mdl	1
philosophy	1
qsar	1
random-forests	1
realizability	1
rna	1
robotics	1
spanish	1
tabu-search	1
thesis	1
time-continuation	1
xcs	1

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