Result 1 to 20 of 32 total
Real-world problem for checking the sensitiveness of evolutionary algorithms to the choice of the random number generator. (English)
Corchado, Emilio (ed.) et al., Hybrid artificial intelligent systems. 7th international conference, HAIS 2012, Salamanca, Spain, March 28‒30, 2012. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-28941-5/pbk). Lecture Notes in Computer Science 7208. Lecture Notes in Artificial Intelligence, 385-396 (2012).
1
GPU-based evaluation to accelerate particle swarm algorithm. (English)
Moreno-Díaz, Roberto (ed.) et al., Computer aided systems theory ‒ EUROCAST 2011. 13th international conference, Las Palmas de Gran Canaria, Spain, February 6‒11, 2011. Revised selected papers, Part I. Berlin: Springer (ISBN 978-3-642-27548-7/pbk). Lecture Notes in Computer Science 6927, 272-279 (2012).
2
Sensitiveness of evolutionary algorithms to the random number generator. (English)
Dobnikar, Andrej (ed.) et al., Adaptive and natural computing algorithms. 10th international conference, ICANNGA 2011, Ljubljana, Slovenia, April 14‒16, 2011. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-20281-0/pbk). Lecture Notes in Computer Science 6593, 371-380 (2011).
3
Effect of the block occupancy in GPGPU over the performance of particle swarm algorithm. (English)
Dobnikar, Andrej (ed.) et al., Adaptive and natural computing algorithms. 10th international conference, ICANNGA 2011, Ljubljana, Slovenia, April 14‒16, 2011. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-20281-0/pbk). Lecture Notes in Computer Science 6593, 310-319 (2011).
4
Distributed bees foraging-based algorithm for large-scale problems (English)
IPDPS Workshops, 1950-1960 (2011).
5
Sensitiveness of evolutionary algorithms to the random number generator (English)
ICANNGA (1), 371-380 (2011).
6
Effect of the block occupancy in GPGPU over the performance of particle swarm algorithm (English)
ICANNGA (1), 310-319 (2011).
7
Distributed and asynchronous bees algorithm applied to nuclear fusion research (English)
PDP, 365-372 (2011).
8
Accelerating particle swarm algorithm with GPGPU (English)
PDP, 560-564 (2011).
9
Grid-based metaheuristics to improve a nuclear fusion device. (English)
Concurrency Comput. Pract. Exp. 22, No. 11, 1476-1493 (2010).
10
Performance improvement in multipopulation particle swarm algorithm. (English)
Ponce de Leon F. de Carvalho, Andre (ed.) et al., Distributed computing and artificial intelligence. 7th international symposium (DCAI’10). Papers based on the presentations at the symposium, Valencia, Spain, September 7‒10, 2010. Berlin: Springer (ISBN 978-3-642-14882-8/pbk; 978-3-642-14883-5/ebook). Advances in Intelligent and Soft Computing 79, 533-540 (2010).
11
Distributed and asynchronous bees algorithm: An efficient model for large scale problems optimizations. (English)
Ponce de Leon F. de Carvalho, Andre (ed.) et al., Distributed computing and artificial intelligence. 7th international symposium (DCAI’10). Papers based on the presentations at the symposium, Valencia, Spain, September 7‒10, 2010. Berlin: Springer (ISBN 978-3-642-14882-8/pbk; 978-3-642-14883-5/ebook). Advances in Intelligent and Soft Computing 79, 381-388 (2010).
12
Empirical study of performance of particle swarm optimization algorithms using grid computing. (English)
González, Juan R. (ed.) et al., Nature inspired cooperative strategies for optimization (NICSO 2010). Papers based on the presentations at the 4th international workshop, Granada, Spain, May 12‒14, 2010. Berlin: Springer (ISBN 978-3-642-12537-9/hbk; 978-3-642-12538-6/ebook). Studies in Computational Intelligence 284, 345-357 (2010).
13
Empirical study of performance of particle swarm optimization algorithms using grid computing (English)
NICSO, 345-357 (2010).
14
Artificial bee colony inspired algorithm applied to fusion research in a grid computing environment (English)
PDP, 508-512 (2010).
15
Distributed and asynchronous bees algorithm: an efficient model for large scale problems optimizations (English)
DCAI, 381-388 (2010).
16
Performance improvement in multipopulation particle swarm algorithm (English)
DCAI, 533-540 (2010).
17
Evolutionary computation and grid computing to optimise nuclear fusion devices different techniques to improve the equilibrium of a stellarator. (English)
Clust. Comput. 12, No. 4, 439-448 (2009).
18
Grid-oriented scatter search algorithm. (English)
Kolehmainen, Mikko (ed.) et al., Adaptive and natural computing algorithms. 9th international conference, ICANNGA 2009, Kuopio, Finland, April 23‒25, 2009. Revised selected papers. Berlin: Springer (ISBN 978-3-642-04920-0/pbk). Lecture Notes in Computer Science 5495, 193-202 (2009).
19
Grid-enabled mutation-based genetic algorithm to optimise nuclear fusion devices. (English)
Moreno-Díaz, Roberto (ed.) et al., Computer aided systems theory ‒ EUROCAST 2009. 12th international conference, Las Palmas de Gran Canaria, Spain, February 15‒20, 2009. Revised selected papers. Berlin: Springer (ISBN 978-3-642-04771-8/pbk). Lecture Notes in Computer Science 5717, 809-816 (2009).
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Result 1 to 20 of 32 total
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