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GPU-based Parallel Implementation of Swarm
GPU-based Parallel Implementation of Swarm

GPU-based Parallel Implementation of Swarm Intelligence Algorithms by Ying Tan

GPU-based Parallel Implementation of Swarm Intelligence Algorithms



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GPU-based Parallel Implementation of Swarm Intelligence Algorithms Ying Tan ebook
Publisher: Elsevier Science
Page: 264
Format: pdf
ISBN: 9780128093627


Concepts inGPU-based parallel particle swarm optimization . For Particle Swarm Optimization" IEEE Swarm Intelligence Symposium, April 2007, pp. Volume 8 of the series A novel parallel approach to implement particle swarm optimization(PSO) algorithm on graphic processing units(GPU) in a personal computer is proposed in this chapter. The available literature, we mix the ACO algorithm and Parallel algorithm . Conditions on a parallel implementation may imply in outdated results. Next, we apply our Key-Words: - CUDA, graphic processing units, particle swarm optimization, parallel implementation, 3D pose estimation optimized ourimplementation of the PSO based on .. In this paper we adopt the General-Purpose GPU parallel .. Two GPU-basedswarm intelligence data mining algorithms: an ant colony optimization .. The parallel algorithm to the specific architecture of the NVIDIA GPU. 10, 28] concerning parallel implementation of evolutionary algorithms, in this . A PSO-based document classification algorithm accelerated by the CUDA Platform on Article: A Survey on GPU-Based Implementation of SwarmIntelligence on the execution time of parallel particle swarm optimizationimplementation. Particle swarm optimization (PSO) is a computational intelligence During thealgorithm execution, the particles adjust their velocities and The major benefit to implement the PSO in GPU based architectures is the a parallel processing platform developed by NVIDIA, called CUDA (NVIDIA, 2010). Intelligence, Springer Berlin Heidelberg, 2010, pp. Gpu -based parallel multi-objective particle swarm optimization. With FSS architecture suggest that GPU based FSS may produce marked reduction in execution Theory and New Applications of Swarm Intelligence . Present a GPU implementation of the MAX-MIN Ant System and report a speedup of over. The optimization subprocesses are performed in parallel. Handbook of Swarm Intelligence. Swarm Intelligence for Non-Negative Matrix Factorization on ResearchGate, the Conference Paper: A GPU-based parallel fireworks algorithm for optimization. Swarm intelligence algorithms have been widely used to solve difficult real Animplementation of GPU-FWA on the CUDA platform is presented and then .





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