Result 1 to 13 of 13 total
A global best artificial bee colony algorithm for global optimization. (English)
J. Comput. Appl. Math. 236, No. 11, 2741-2753 (2012).
1
Experimental evaluation of the agent-based population learning algorithm for the cluster-based instance selection. (English)
Jędrzejowicz, Piotr (ed.) et al., Computational collective intelligence. Technologies and applications. Third international conference, ICCCI 2011, Gdynia, Poland, September 21‒23, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-23937-3/pbk). Lecture Notes in Computer Science 6923, 301-310 (2011).
2
A new cluster-based instance selection algorithm. (English)
O’Shea, James (ed.) et al., Agent and multi-agent systems: technologies and applications. 5th KES international conference, KES-AMSTA 2011, Manchester, UK, June 29 ‒ July 1, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-21999-3/pbk). Lecture Notes in Computer Science 6682. Lecture Notes in Artificial Intelligence, 436-445 (2011).
3
A cross-entropy based population learning algorithm for multi-mode resource-constrained project scheduling problem with minimum and maximum time lags. (English)
Pan, Jeng-Shyang (ed.) et al., Computational collective intelligence. Technologies and applications. Second international conference, ICCCI 2010, Kaohsiung, Taiwan, November 10‒12, 2010. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-16692-1/pbk). Lecture Notes in Computer Science 6421. Lecture Notes in Artificial Intelligence, 383-392 (2010).
4
Pattern recall analysis of the Hopfield neural network with a genetic algorithm. (English)
Comput. Math. Appl. 60, No. 4, 1049-1057 (2010).
5
A cross-entropy-based population-learning algorithm for discrete-continuous scheduling with continuous resource discretisation. (English)
Neurocomputing 73, No. 4-6, 655-660 (2010).
6
Hybrid ant colony algorithm and its application on function optimization. (English)
Kang, Lishan (ed.) et al., Advances in computation and intelligence. Third international symposium, ISICA 2008, Wuhan, China, December 19‒21, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-92136-3/pbk). Lecture Notes in Computer Science 5370, 769-777 (2008).
7
A cross-entropy based population learning algorithm for discrete-continuous scheduling with continuous resource discretisation. (English)
Lovrek, Ignac (ed.) et al., Knowledge-based intelligent information and engineering systems. 12th international conference, KES 2008, Zagreb, Croatia, September 3‒5, 2008. Proceedings, Part I. Berlin: Springer (ISBN 978-3-540-85562-0/pbk). Lecture Notes in Computer Science 5177. Lecture Notes in Artificial Intelligence, 82-89 (2008).
8
Unsupervised feature selection using clustering ensembles and population based incremental learning algorithm. (English)
Pattern Recognition 41, No. 9, 2742-2756 (2008).
9
Experimental study on population-based incremental learning algorithms for dynamic optimization problems. (English)
Soft Comput. 9, No. 11, 815-834 (2005).
10
Learning Bayesian networks in the space of structures by estimation of distribution algorithms. (English)
Int. J. Intell. Syst. 18, No.2, 205-220 (2003).
11
Evolution-based methods for selecting point data for object localization: Applications to computer-assisted surgery. (English)
Appl. Intell. 8, No. 1, 7-19 (1998).
12
Evolution-based methods for selecting point data for object localization: Applications to computer-assisted surgery. (English)
Appl. Intell. 8, No. 1, 7-19 (1998).
13
Result 1 to 13 of 13 total
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