Result 1 to 20 of 40 total
Investigating smart sampling as a population initialization method for differential evolution in continuous problems. (English)
Inf. Sci. 193, 36-53 (2012).
1
Multi-objective phylogenetic algorithm: solving multi-objective decomposable deceptive problems. (English)
Takahashi, Ricardo H. C. (ed.) et al., Evolutionary multi-criterion optimization. 6th international conference, EMO 2011, Ouro Preto, Brazil, April 5‒8, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-19892-2/pbk). Lecture Notes in Computer Science 6576, 285-297 (2011).
2
Analysis of properties of recombination operators proposed for the node-depth encoding (English)
GECCO (Companion), 137-138 (2011).
3
Investigating relevant aspects of moeas for protein structures prediction (English)
GECCO, 705-712 (2011).
4
Multi-objective phylogenetic algorithm: solving multi-objective decomposable deceptive problems (English)
EMO, 285-297 (2011).
5
A parallel multi-objective evolutionary algorithm for phylogenetic inference. (English)
Blum, Christian (ed.) et al., Learning and intelligent optimization. 4th international conference, LION 4, Venice, Italy, January 18‒22, 2010. Selected papers. Berlin: Springer (ISBN 978-3-642-13799-0/pbk). Lecture Notes in Computer Science 6073, 196-199 (2010).
6
Parallel multi-objective approaches for inferring phylogenies. (English)
Pizzuti, Clara (ed.) et al., Evolutionary computation, machine learning and data mining in bioinformatics. 8th European conference, EvoBIO 2010, Istanbul, Turkey, April 7‒9, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-12210-1/pbk). Lecture Notes in Computer Science 6023, 26-37 (2010).
7
Parallel multi-objective approaches for inferring phylogenies (English)
EvoBIO, 26-37 (2010).
8
Optimizing Van der waals calculi using cell-lists and MPI (English)
IEEE Congress on Evolutionary Computation, 1-7 (2010).
9
A parallel multi-objective evolutionary algorithm for phylogenetic inference (English)
LION, 196-199 (2010).
10
Design of associative memories using cellular neural networks. (English)
Neurocomputing 72, No. 10-12, 2180-2188 (2009).
11
Representations for evolutionary algorithms applied to protein structure prediction problem using HP model. (English)
Guimarães, Katia S. (ed.) et al., Advances in bioinformatics and computational biology. 4th Brazilian symposium on bioinformatics, BSB 2009, Porto Alegre, Brazil, July 29‒31, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-03222-6/pbk). Lecture Notes in Computer Science 5676. Lecture Notes in Bioinformatics, 97-108 (2009).
12
Using smart sampling to discover promising regions and increase the efficiency of differential evolution (English)
ISDA, 1394-1399 (2009).
13
Efficiency enhancement of ECGA through population size management (English)
ISDA, 19-24 (2009).
14
Representations for evolutionary algorithms applied to protein structure prediction problem using HP model (English)
BSB, 97-108 (2009).
15
Random subspaces of the instance and principal component spaces for ensembles (English)
IJCNN, 816-819 (2009).
16
A hybrid case adaptation approach for case-based reasoning. (English)
Appl. Intell. 28, No. 2, 101-119 (2008).
17
The node-depth encoding: analysis and application to the bounded-diameter minimum spanning tree problem (English)
GECCO, 969-976 (2008).
18
On promising regions and optimization effectiveness of continuous and deceptive functions (English)
IEEE Congress on Evolutionary Computation, 4184-4191 (2008).
19
Easy efficiency-enhancement technique for the ECGA (English)
SBRN, 69-74 (2008).
20
Result 1 to 20 of 40 total
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