| Searching for PHRASE pelikan m. |
248 citations found. Retrieving citations...
Context Doc 41 (10): Pelikan, M., D. E. Goldberg, & F. Lobo (1999). A survey of optimization by building and using probabilistic models. Technical Report IlliGAL-99018, Illinois Genetic Algorithms Laboratory.
| If pelikan m is an author this query will not return citations with the full first name or middle initials. |
Context Doc 30 (13): M. Pelikan, D. E. Goldberg and E. Cantu-Paz, BOA: The Bayesian Optimization Algorithm, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO99), I, 525-532, 1999.
Context Doc 17 (9): Pelikan, M. & Muhlenbein, H. (1998). The bivariate marginal distribution algorithm.
Context Doc 9 (0): Pelikan, M. and Muhlenbein, H.: The bivariate marginal distribution algorithm. Advances in Soft Computing-Engineering Design and Manufacturing,(1999) 521-- 535.
Context Doc 7 (3): M. Pelikan, D.E. Goldberg, and K.Sastry. Bayesian Optimization Algorithm, decision graphs, and Occam's razor. In L. Spector and al., editors, Proceedings of the Genetic and Evolutionary Computation Conference GECCO-2001.
Context Doc 6 (0): Kvasnicka, V., Pelikan, M., & Pospichal, J. (1995). Hill-climbing with learning: An abstraction of genetic algorithm. Technical report, Bratislava:Slovak Technical University.
Context Doc 5 (2): M. Pelikan, D.E. Goldberg, and E. Cantu-Paz. Linkage problem, distribution estimation, and bayesian network. Evolutionary Computation, 8:311--341, 2000.
Context Doc 5 (2): M. Pelikan, D.E. Goldberg, and E. Cantd-Paz. Link- age problem, distribution estimation, and bayesian networks. IlliGAL Report 98013, Illinois Genetic Algorithms Laboratory, University of Illinois, 1998.
Context Doc 5 (0): Pelikan, M., Goldberg, D.E. and Cantu-Paz, E.: Linkage Problem, Distribution Estimation and Bayesian Networks. Evolutionary Computation, 8(3)(2000) 311-- 340.
Context Doc 4 (0): Pelikan, M., Goldberg, D.E.: Escaping hierarchical traps with competent genetic algorithms. In Spector et al., L., ed.: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-01, Morgan Kaufmann (2001) 511--518
Context Doc 4 (0): M. Pelikan, D.E. Goldberg, and K. Sastry. Bayesian optimization algorithm, decision graphs and occam's razor. IlliGAL Tech. R. 2000.
Context Doc 4 (10): Pelikan, M., Goldberg, D.E., & Cantu-Paz, E. 2000. Linkage Problem, Distribution Estimation, and Bayesian Network. Evolutionary Computation, 8, 311-341.
Context Doc 4 (0): M. Pelikan and D. Goldberg. Hierarchical BOA solves Ising spin glasses and MAXSAT. In Genetic and Evolutionary Computation Conference 2003.
Context Doc 3 (0): Pelikan, M. and Goldberg, D. (2000) "Research on the Bayesian Optimization Algorithms," IlliGAL Report No 200010, University of Illinois.
Context Doc 3 (0): Pelikan, M. and Goldberg, D. E. (2003.
Context Doc 2 (0): Kvasnica, V., Pelikan, M, and Pospical, J. (1996), "Hill Climbing with Learning (An Abstraction of Genetic Algorithm). Neural Network World (Czech Republic), 6(5): 773-796.
Context Doc 2 (0): M. Pelikan. Bayesian Optimization Algorithm: From Single Level to Hierarchy. Ph.D thesis, University of Illinois Urbana-Champaign. 2002.
Context Doc 2 (0): Pelikan, M., Goldberg, D.E. and Cant u-paz, E., "Linkage Problem, Distribution Estimation and Bayesian Networks", Evolutionary Computation, vol. 8, no.3, pp. 311-340, 2000.
Context Doc 2 (2): Pelikan, M., Goldberg, D.E.: Hierarchical problem solving by the bayesian optimization algorithm. In Whitley et al., D., ed.: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), Las Vegas, Nevada, USA, Morgan Kaufmann (2000) 267--274
Context Doc 2 (0): M. Pelikan and D.E. Goldberg. Genetic algo- rithms, clustering, and the breaking of symmetry. In M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J.J. Merelo, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature PPSN VI, pages 385 394. Springer, 2000
Context Doc 1 (2): S. Tsutsui, M. Pelikan, and D. E. Goldberg, Evolutionary Algorithm Using Marginal Histogram Models in Continuous Domain, In Proceedings of the 2001 Genetic and Evolutionary Computation Conference Workshop, 230-233, San Francisco, CA, 2001.
Context Doc 1 (0): In Roy,R. et al. (eds), Advances in Soft Computing - Engineering Design and Manufacturing, pp. 521--535, New York: Springer Press Pelikan, M. & Goldberg, D.E. & Cantu-Paz, E. (1999). BOA: The Bayesian optimization algorithm. IlliGAL Technical Report 99003, University of Illinois at Urbana-Champaign.
Context Doc 1 (0): Pelikan,M. and Goldberg,D.E. and Fernando Lobo, A Servey of Optimization by Building and Using Probabilistic Models, illiGAL Report No.99018, 1999.
Context Doc 1 (0): Pelikan, M.: A simple implementation of the Bayesian optimization algorithm (BOA) in C++ (version 1.0). IlliGAL Report No. 99011, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL (1999)
Context Doc 1 (0): Pelikan, M., Goldberg, D.E., and Tsutsui, S. (2001.
Context Doc 1 (0): K. Sastry, D.E. Goldberg, and M. Pelikan. Don't evaluate, inherit. In Proceedings of genetic and Evolutionary Computation Conference, pages 551-558. Morgan Kaufmann, 2001.
Context Doc 1 (0): Butz, M. & Pelikan, M. (2001) Analyzing the Evolutionary Pressures in XCS. In Proceedings of the Genetic and Evolutionary Computation Conference 2001, pages 927-934. Morgan Kaufmann, San Francisco (CA).
Context Doc 1 (0): Sastry, K., Pelikan, M.& Goldberg, D. E. (2005), `Decomposable problems, niching, and scalability of multiobjective estimation of distribution algorithms , IlliGAL Report No. 2005004, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, IL.
Context Doc 1 (0): M. Pelikan, D.E. Goldberg, and E. Cantu-Paz. Linkage problem, distribution estimation and bayesian netowkrs. Technical Report IlliGAL Report No. 98013, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, November 1998.
Context Doc 1 (0): Pelikan, M. & Muhlenbein, H. Marginal Distributions in Evolutionary Algorithms. Submitted 1999.
Context Doc 1 (0): M. Pelikan, D.E. Goldberg, and F. Lobo. A survery of optimization by building and using probabilistic models. Technical Report Technical Report IlliGAL 99018, University of Illinois at Urbana-Champaign, Urbana, IL, 2001.
Context Doc 1 (0): F. Lobo and M. Pelikan. Personal Communication, 2000. 9
Context Doc 1 (0): Schemata, distributions and graphical models in evolutionary optimization, J. Heuristics, 5:215-247. Pelikan, M., Goldberg, D.E., and Cantu-Paz, E. (1999). BOA: The Bayesian optimization algorithm, In Proc. 1999 Genetic and Evolutionary Computation Conference (GECCO-99), Morgan Kaufmann, pp.
Context Doc 1 (0): Egmont-Petersen M, Pelikan E: Detection of Bone Tumours in Radiograophic Images using Neural Networks, Pattern Analysis & Application 2, 172-183, 1999.
Context Doc 1 (1): Pelikan, M., Goldberg, D.E., Cant'u-Paz, E.: Linkage Problem, Distribution Estimation, and Bayesian Networks. IlliGAL Report No. 98013. University of Illinois at Urbana-Champaign (1998)
Context Doc 0 (1): M. Pelikan and D. E. Goldberg. Hierarchical problem solving and the bayesian optimization algorithm. In D. Withley, D. Goldberg, E. Cantu-Paz, L. Spector, I. Parmee, and H. Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference 2000.
Context Doc 0 (1): M. Pelikan and D. E. Goldberg. Genetic algorithms, clustering and the breaking of symmetry. IlliGAL Report 2000.
Context Doc 0 (2): P. A. N. Bosman and D. Thierens. Advancing continuous IDEAs with mixture distributions and factorization selection metrics. In M. Pelikan and K. Sastry, editors, Proceedings of the Optimization by Building and Using Probabilistic Models OBUPM Workshop at the Genetic and Evolutionary Computation Conference GECCO--2001, pages 208--212. Morgan Kaufmann, 2001.
Context Doc 0 (1): M. Pelikan, D. E. Goldberg, and E. Cantu-Paz, \Bayesian Optimization Algorithm, Population Sizing and Time to Convergence," IlliGAL Report No.
Context Doc 0 (1): P.A.N. Bosman and D. Thierens. Continuous iterated density estimation evolutionary algorithms within the IDIF, A framework. In M. Pelikan, H. M/ihlenbein, and A.O. Rodriquez, editors, Proceedings of the Optimization by Building and Using Probabilistic Models OBUPM Workshop at the Genetic and Evolutionary Computation Conference GECCO 2000.
Context Doc 0 (1): P.A.N. Bosman and D. Thierens. Advancing continuous IDEAs with mixture dis- tributions and factorization selection metrics. In M. Pelikan and K. Sastry, editors, Proceedings of the Optimization by Building and Using Probabilistic Models OBUPM Workshop at the Genetic and Evolutionary Computation Conference GECCO-2001.
Context Doc 0 (1): Egmont-Petersen M, Pelikan E. Detection of bone tumours in radiographs using neural networks. Pattern Anal Appl 1999;2:172--83.
Context Doc 0 (1): M. Pelikan, D. E. Goldberg, and E. Cant u-Paz, "Linkage learning, estimation distribution, and Bayesian networks," Evolutionary Computation, vol. 8, no. 3, pp. 314--341, 2000, (Also IlliGAL Report No. 98013).
Context Doc 0 (1): Pelikan, M., & Goldberg, D. E. (2000a). A comparative study of scoring metrics in the Bayesian optimization algorithm: Minimum description length and Bayesian-Dirichlet. Unpublished technical report.
Context Doc 0 (1): M. Pelikan, D.E. Goldberg, and E. Cant'u-Paz. Linkage problem, distribution estimation and bayesian networks. Also available as IlliGAL Report 98013. ftp://ftp-illigal.ge.uiuc.edu/pub/ papers/IlliGALs/98013.ps.Z, 1998 .
Context Doc 0 (1): Pelikan, M., & Goldberg, D. E. (2000). Genetic algorithms, clustering, and the breaking of symmetry (IlliGAL Report No. 2000013). Urbana, IL: University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory.
Context Doc 0 (1): Population-size independent theory. Computer Methods in Applied Mechanics and Engineering Pelikan, M., Goldberg, D. E., & Cant'u-Paz (1999). BOA: The Bayesian optimization algorithm. GECCO-99: Proceedings of the 1999 Genetic and Evolutionary Computation Conference (elsewhere in this volume).
Context Doc 0 (5): IEEE Press. Kvasnicka, V., Pelikan, M., & Pospichal, J. (1996). Hill climbing with learning (An abstraction of genetic algorithm) . Neural Network World , 6 , 773--796.
The numbers before each article are the number of citations (excluding self-citations), and the predicted number of self-citations. 248 citations were found, of which 75 were predicted to be self-citations. Self-citations are not included in the graph.
Try your query at: Google (CiteSeer) Google (Web) Yahoo! MSN CSB DBLP
CiteSeer.IST - Copyright Penn State and NEC