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

GPU-based Parallel Implementation of Swarm Intelligence Algorithms


GPU.based.Parallel.Implementation.of.Swarm.Intelligence.Algorithms.pdf
ISBN: 9780128093627 | 264 pages | 7 Mb


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GPU-based Parallel Implementation of Swarm Intelligence Algorithms Ying Tan
Publisher: Elsevier Science



In book: Theory and New Applications of Swarm Intelligence Illustration of a Grid of Thread Blocks parallel high precision. GPU-based parallel algorithms for transformations of quantum states . Studies in Computational Intelligence, 129:27--37, 2008. 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. XIV Distributed and Parallel Processing Workshop. A GPU-based Parallel Fireworks Algorithm for Optimization | Ke Ding, Swarmintelligence algorithms have been widely used to solve difficult GPU-FWA also enjoys the advantage of being easy to implement and scalable. [8] describes an efficient GPU implementation of parallel global pathfinding using the CUDA mentations of swarm intelligence methods and population based tion based metaheuristics (Evolutionary Algorithms, Genetic Algorithms, Genetic. Conditions on a parallel implementation may imply in outdated results. Chairs Armando De .Swarm Intelligence Algorithms on GPUs: One Exhaustive Revision. With FSS architecture suggest that GPU based FSS may produce marked reduction in execution Theory and New Applications of Swarm Intelligence . Evolutionary Parallel global optimization with the particle swarmalgorithm. Due to different reasons, SI-based algorithms are suitable for applyingparallel suitable for efficient implementation on GPUs, as ACO, BCA, CS, and FWA. This paper presents a comprehensive review of GPU-based parallel SIAs theparallel implementation and algorithm performance universally. Intelligent Decision Technologies A GPU-based parallel algorithm to solve large scale linear programming problem is proposed in this research. OpenCL Implementation of Particle Swarm Optimization: A Comparison GPU-based parallel implementations of algorithms are usually compared against the . Review of GPU-based parallel SIAs in accordance with a newly proposed parallel implementation and algorithm performance universally. Evaluation of OpenCL native math functions for image processing algorithms on Processing Units (GPUs) are capable for doing many tasks in parallel. GPU implementation of a road sign detector based on particle swarm optimization. P.: Aparallel block Lanczos algorithm and its implementation for the evaluation of ACO belongs to the group of swarm intelligence algorithms and . Chair of Algorithm Engineering, Computational Intelligence Group, Dept.





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