PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
A Note on the Extended Rosenbrock Function
Evolutionary Computation
Coarse grain parallelization of evolutionary algorithms on GPGPU cards with EASEA
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework
Genetic Programming and Evolvable Machines
Fast evaluation of GP trees on GPGPU by optimizing hardware scheduling
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
Surrogate modeling in the evolutionary optimization of catalytic materials
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Parallel simulation of urban dynamics on the GPU
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II
Accelerating analysis of void space in porous materials on multicore and GPU platforms
International Journal of High Performance Computing Applications
A natural evolution strategy with asynchronous strategy updates
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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This paper presents the first implementation of a generic memetic algorithm on one of the two GPU (Graphic Processing Unit) chips of a GTX295 gaming card. Observed speedups range between ×70 and ×120, mainly depending on the population size. An automatic parallelization of a memetic algorithm is provided through an upgrade of the EASEA language, so that the EC community can benefit from the extraordinary power of these cards without needing to program them.