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GPU-based Parallel Implementation of Swarm Intelligence Algorithms. Ying Tan
GPU-based-Parallel.pdf
ISBN: 9780128093627 | 264 pages | 7 Mb
- GPU-based Parallel Implementation of Swarm Intelligence Algorithms
- Ying Tan
- Page: 264
- Format: pdf, ePub, fb2, mobi
- ISBN: 9780128093627
- Publisher: Elsevier Science
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Fireworks Algorithm: A Novel Swarm Intelligence Optimization Method Fireworks Algorithm: A Novel Swarm Intelligence Optimization Method for combinatorial optimization, and GPU-based FWA for parallel implementation.
GPU enhanced parallel computing for large scale data clustering Swarm intelligence. Data clustering. CUDA abstract. Analyzing and clustering large scale data set is a complex algorithm on GPU enhanced machines, thereby reducing the computational time and bringing the flocking based data clustering implementation of GPU enhanced flocking data clustering.
Software Design Challenges in Time Series Prediction Systems ANN based implementation is familiar because of its nonlinear, predictive, and adaptive capabilities. . In this paper ESR (Evolutionary Swarm Robotics) is an artificial approach for A parallel algorithm for graphics processing unit (GPU) and Victor Chang proposed Business Intelligence in cloud based
Analysis of the Performance of the Fish School Search Algorithm In book: Theory and New Applications of Swarm Intelligence Illustration of a Grid of Thread Blocks parallel high precision. .. Article: A Survey on GPU-BasedImplementation of Swarm Intelligence Algorithms ORCID="0000-0001-8243- 4731
A parallel Bees Algorithm implementation on GPU many parallel swarm based algorithms have been developed for running on .parallel swam intelligence algorithm has be done on GPU, such.
OpenCL Implementation of Particle Swarm - ResearchGate GPU-based parallel implementations of algorithms are usually compared against the corresponding sequential versions compiled for a single-core CPU
libCudaOptimize: an Open Source Library of GPU-based - LRI ical images, and the parallel implementation of Simulated. Annealing as a new I.2.5 [Artificial Intelligence]: Programming Languages and Software; D.2.13 Open Source Library, GPGPU, CUDA, Particle Swarm Op- timization . Scatter Search [5] is a population-based algorithm in which a systematic
Comparison of parallel particle swarm optimizers for graphical In this paper, we present a parallel implementation of the particle swarm Article: A Survey on GPU-Based Implementation of Swarm IntelligenceAlgorithms
An improved CUDA-based implementation of differential evolution NVIDIA's CUDA technology provides a wieldy parallel computing platform. . of many-threaded differential evolution and genetic algorithms on CUDA. . Networks (DTNs), based on a distributed swarm intelligence approach.