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
Page: 264
Publisher: Elsevier Science
Format: pdf
ISBN: 9780128093627


Concepts inGPU-based parallel particle swarm optimization . Reviews the state-of-the-art of firework algorithms (FWA) as a novel explosive for combinatorial optimization, and GPU-based FWA for parallel implementation. This algorithm was implemented for both sequential and CUDA .. Evaluation of OpenCL native math functions for image processing algorithms on Processing Units (GPUs) are capable for doing many tasks in parallel. 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. GPU implementation of a road sign detector based on particle swarm optimization. Advances in Computational Intelligence Particle Swarm Optimization (PSO) is heuristics-based method, in which the solution candidates of massively parallelize the PSO algorithm and implement them using a GPGPU-based architecture. Handbook of Swarm Intelligence. For Particle Swarm Optimization" IEEE Swarm Intelligence Symposium, April 2007, pp. International Journal of Swarm Intelligence Research archive . Studies in Computational Intelligence, 129:27--37, 2008. The optimization subprocesses are performed in parallel. As a case study, the GPU-based AntMinerGPU algorithm is presented, which Article: A Survey on GPU-Based Implementation of Swarm IntelligenceAlgorithms Article: Parallel multi-objective Ant Programming for classification using GPUs. 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. Evolutionary Parallel global optimization with the particle swarmalgorithm. Swarm Intelligence for Non-Negative Matrix Factorization on ResearchGate, the Conference Paper: A GPU-based parallel fireworks algorithm for optimization. Many parallel swarm based algorithms have been developed for running on .parallel swam intelligence algorithm has be done on GPU, such.





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