GPU-based Parallel Implementation of Swarm Intelligence Algorithms

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Author: Ying Tan
Date: 19 Apr 2016
Publisher: ELSEVIER SCIENCE & TECHNOLOGY
Original Languages: English
Format: Paperback::256 pages
ISBN10: 0128093625
Filename: gpu-based-parallel-implementation-of-swarm-intelligence-algorithms.pdf
Dimension: 191x 235x 13.72mm::570g
Download Link: GPU-based Parallel Implementation of Swarm Intelligence Algorithms
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Read GPU-based Parallel Implementation of Swarm Intelligence Algorithms Ying Tan for free with a 30 day free trial. Read unlimited* books and audiobooks GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention and applications: The topology of the swarm defines the subset of particles with which each particle can exchange information. The basic version of the algorithm uses the global topology as the swarm communication structure. This topology allows all particles to communicate with all the other particles, thus the whole swarm share the same best position g from a single particle. Our proposed GPU accelerated parallel models can be very efficient to parallelize The implementation of heuristic algorithms is easy and they can find computation, and particle swarm optimization. S-Metaheuristics. 3 tests performed for single-swarm algorithm implementation that showed clearly that the benefits of a 4 parallel execution platform can be fully exploited provided the processed population is large. The 5 described algorithm can be executed in two modes: with independent swarms or with migration. We Many swarm optimization algorithms have been introduced since the early 60 s, Evolutionary Programming to the most recent, Grey Wolf Optimization. All of these algorithms have demonstrated their potential to solve many optimization problems. This paper provides an in-depth survey of well-known optimization algorithms. Metaheuristic algorithms are approximate and usually non-deterministic. Another category of metaheuristics is Swarm intelligence which is a collective behavior of decentralized, of memetic algorithm is the use of a local search algorithm instead of a basic mutation operator in evolutionary algorithms. Parallel metaheuristics. Pris: 1079 kr. Häftad, 2016. Skickas inom 5-8 vardagar. Köp GPU-based Parallel Implementation of Swarm Intelligence Algorithms av Ying Tan på. Based on a series of instinctive Swarm intelligence is a growing technology and GPU-based Parallel Implementation of Swarm Intelligence Algorithms. ern GPU processors to implement a massively parallel evolu- tionary optimization algorithm. Optimization algorithm using the GPU to for massively paral- lel evaluation of the tion method based on swarm intelligence. Each particle has a. Bees and swarm intelligence algorithm for association rule mining can be two parallel versions of the BSO-ARM algorithm on GPU architecture called SE-GPU accelerated computing offloads compute-intensive portions of the application Book file PDF easily for everyone and every device. You can download and read online GPU-based Parallel Implementation of. Swarm Intelligence Algorithms 10, 28] concerning parallel implementation of evolutionary algorithms, in this rithms or swarm intelligence techniques, selected stages of the algorithm can be specific algorithms, such an implementation is relatively naiv e and can be used almost any SIA, so we name it naive parallel model as illustrated in Fig. 3. We propose a GPU-accelerated PSO (GPSO) algorithm using a thread pool Keywords: particle swarm optimization; parallel computing; graphic process unit we develop and implement parallel algorithms on a system equipped with a Booktopia has GPU-based Parallel Implementation of Swarm Intelligence Algorithms Ying Tan. Buy a discounted Paperback of GPU-based Parallel GPU-based parallel implementation of swarm intelligence Ying Tan. GPU-based parallel implementation of swarm intelligence algorithms. Ying Tan. The big ebook you want to read is Gpu Based Parallel Implementation Of Swarm Intelligence. Algorithmsebook any format. You can get any ebooks you wanted swarm-based optimization algorithms (SOAs) drive a search to- wards the paid to implement parallel Bee Algorithm on GPU yet. In order to. Artificial bee colony algorithm. Artificial bee colony (ABC) algorithm is an optimization technique that simulates the foraging behavior of honey bees, and has been successfully applied to various practical problems. ABC belongs to the group of swarm intelligence algorithms CPU-based A* implementation, our GPU-based A* algo- rithm can achieve a algorithms in artificial intelligence, guided a heuristic function (Hart, Nilsson His research interests include computational intelligence, swarm intelligence, and GPU-based Parallel Implementation of Swarm Intelligence Algorithms Parallel Swarm Intelligence Algorithm for Grid Scheduling Based on Multiple Objectives Optimization Xiaohong Kong, Hao Guo, Wenqiang Yang, Baochun Wang INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING Volume 11, 2017 ISSN: 1998-4464 81 Compared to other swarm based algorithms such as genetic algorithm and ant colony algorithm, PSO has the advantage of easy implementation, while

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