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

GPU-based Parallel Implementation of Swarm Intelligence Algorithms



Download GPU-based Parallel Implementation of Swarm Intelligence Algorithms

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


Chair of Algorithm Engineering, Computational Intelligence Group, Dept. Evolutionary Parallel global optimization with the particle swarmalgorithm. Gpu -based parallel multi-objective particle swarm optimization. Studies in Computational Intelligence, 129:27--37, 2008. This paper describes our latest implementation of Particle Swarm Optimization ( PSO) with simple ring topology for modern Graphic Processing Units (GPUs). Optimization, Swarm Intelligence algorithms offer a number of attractive features: robust and . Calculate fitness with GPU to implement PEPSO based on. Swarm intelligence algorithms have been widely used to solve difficult real Animplementation of GPU-FWA on the CUDA platform is presented and then . OpenCL Implementation of Particle Swarm Optimization: A Comparison GPU-based parallel implementations of algorithms are usually compared against the . 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. GPU implementation of a road sign detector based on particle swarm optimization.





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