Theory and Practice of Cellular UMDA for Discrete Optimization-Reference-Cited by-同舟云学术

Theory and Practice of Cellular UMDA for Discrete Optimization

Published:2006 Issue: Volume: Page:242-251
ISSN:0302-9743
Container-title:Parallel Problem Solving from Nature - PPSN IX
language:
Short-container-title:

Author:

Alba E.,Madera J.,Dorronsoro B.,Ochoa A.,Soto M.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11844297_25.pdf

Reference20 articles.

1. Bäck, T., Fogel, D., Michalewicz, Z. (eds.): Handbook of Evolutionary Computation. Oxford University Press, Oxford (1997)

2. Alba, E., Dorronsoro, B.: The exploration/exploitation tradeoff in dynamic cellular evolutionary algorithms. IEEE TEC 9(2), 126–142 (2005)

3. Lecture Notes in Computer Science;H. Mühlenbein,1996

4. Larrañaga, P., Lozano, J.A. (eds.): Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation. Kluwer Academic Publishers, Dordrecht (2002)

5. Cantú-Paz, E.: Feature subset selection by estimation of distribution algorithms. In: GECCO, pp. 303–310. Morgan Kaufmann, San Francisco (2002)

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CUMDANCauchy-C1;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2019-07-13

2. Cellular Estimation Gaussian Algorithm for Continuous Domain;Journal of Intelligent & Fuzzy Systems;2019-05-14

3. Dynamic deployment optimization of near space communication system using a novel estimation of distribution algorithm;Applied Soft Computing;2019-05

4. Optimization Models with Coalitional Cellular Automata;Self-organizing Coalitions for Managing Complexity;2017-12-14

5. Evolutionary Algorithms Based on Game Theory and Cellular Automata with Coalitions;Handbook of Optimization;2013