Evolutionary algorithm using kernel density estimation model in continuous domain

Proceedings of 2009 7th Asian Control Conference, ASCC 2009

Volumn , Issue , 2009, Pages 1526-1531

  Luo, Na ^a   Qian, Feng ^a  

^a EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK FUNCTIONS; CONTINUOUS DOMAIN; ESTIMATION OF DISTRIBUTION ALGORITHMS; KERNEL DENSITY ESTIMATION; PROBABILISTIC MODELS; PROBABILITY MODELS; REAL DISTRIBUTION; REAL-LIFE PROBLEMS; SAMPLING METHOD; SELECTION SCHEME;

ESTIMATION; PROBABILITY DISTRIBUTIONS; PUBLIC KEY CRYPTOGRAPHY;

EVOLUTIONARY ALGORITHMS;

EID: 71449086847     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Zhang Q.F. and Heinz Mühlenbein, "On convergence of a class of optimization algorithms using estimation of distribution", IEEE Transactions on Evolutionary Computation, vol. 8,no. 2,pp.127-136,2004.
2. Bin Li, Run-tian Zhong, Xian-ji Wang, Zhen-quan Zhuang, "Continuous Optimization based-on Boosting Gaussian Mixture Model", in Proceeding of the 18th International Conference on Pattern Recognition (ICPR 2006), Hong Kong, China,vol.1,2006, pp.1192 - 1195.
3. Shigeyoshi Tsutsui, Martin Pelikan, and David E. Goldberg, "Evolutionary Algorithm using Marginal Histogram Models in Continuous Domain", In Proc. of the 2001 Genetic and Evolutionary Computation Conference Workshop Program,2001.
4. Ding N,Zhou S D, Sun Z Q, "Histogram-Based Estimation of Distribution Algorithm: A Competent Method for Continuous Optimization Histogram-based estimation of distribution algorithm: a competent method for continuous optimization", Journal of computer science and technology, vol.23,no.1,pp.35-43,2008.
5. Baluja S., "Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and competitive Learning", Technical Report CMU-CS-94-163, Pittsburgh, PA: Carnegie Mellon University, 1994.
6. G.R. Harik, F.G. Lobo, and D.E.Goldberg, "The compact genetic algorithm", IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, vol. 3, no. 4, Nov,1999,pp.287-297.
7. H.Mühlenbein. and Paaß G., "From recombination of genes to the estimation of distributions I. Binary parameters. Lecture Notes in Computer Science, vol.1141,Berlin,pp.178-187,1996.
8. Jeremy S. De Bonet, Charles L. Isbell, Paul Viola, "MIMIC: finding optima by estimating probability densities," Advances in Neural Information Processing Systems, C. Mozer, Ed. Cambridge, MA: MIT Press, 1997, vol. 9, pp. 424-431.
9. Baluja, S., Davies, S., "Combining multiple optimization with optimal dependency trees", Technical Report CMU-CS-97-157, Carnegie Mellon University, Pittsburgh,1997.
10. M.Pelikan and H.Mühlenbein, "The bivariate marginal distribution algorithm", Adv. Soft Comput. Eng. Design and Manuf., pp.521-535,1999.
11. G. Harik. Linkage Learning via Probabilistic Modeling in the ECGA. Illegal Report No. 99010, University of Illinois at Urbana-Champaign, Urbana, IL, January 1999.
12. M.Pelikan, D.E.Goldberg and E. Cantú-Paz, "BOA: The Bayesian optimization algorithm", In Proc. Genetic and Evolutionary Computation Conf.(GECCO-99),vol. ?,pp.525-532,1999.
13. H.Mühlenbein. and Mahnig T., "Convergence theory and applications of the factorized distribution algorithm", Journal of Computing and Information Technology, vol.7,no.1,pp.19-32,1999.
14. P. Larrañaga, R. Etxeberria, J.A. Lozano, J.M. Peña, "Optimization in continuous domain by learning and simulation of Gaussian networks", in The Proceeding of the 2000 Genetic and Evolutionary Computation Conference Workshop Program, Las Vegas, Nevada,2000,pp. 201-204.
15. Michèle Sebag, Antoine Ducoulombier, "Extending Population-Based Incremental Learning to Continuous Search Spaces", Lecture Notes In Computer Science,vol.1498,pp.418-427,1998.
16. Cai Yunpeng, Sun Xiaomin, Xu Hua, Jia Peifa, "Cross entropy and adaptive variance scaling in continuous EDA", in GECCO'02,2007, London, England, United Kingdom,pp.609-616.
17. Weishan Dong, Xin Yao, "Covariance matrix repairing in Gaussian based EDAs", in 2007 IEEE Congress on Evolutionary Computation (CEC 2007),pp.415-422.