Parallelization of binary and real-coded genetic algorithms on GPU using CUDA-Reference-Cited by-同舟云学术

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Parallelization of binary and real-coded genetic algorithms on GPU using CUDA

Published:2010-07 Issue: Volume: Page:
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Container-title:IEEE Congress on Evolutionary Computation
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Author:

Arora Ramnik,Tulshyan Rupesh,Deb Kalyanmoy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5573635/5585910/05586260.pdf?arnumber=5586260

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BrkgaCuda 2.0: A Framework for Fast Biased Random-Key Genetic Algorithms on GPUs;2022-11-29

2. The Recurrent-and-Parallel Implementation of COMBI GMDH algorithm on CPU and GPU;2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT);2022-11-10

3. High performance evolutionary computation with tensor-based acceleration;Proceedings of the Genetic and Evolutionary Computation Conference;2022-07-08

4. GPGPU based Dual Population Genetic Algorithm for solving Constrained Optimization Problem;International Journal of Electrical Engineering and Computer Science;2022-06-04

5. Evolutionary algorithm applications for IoTs dedicated to precise irrigation systems: state of the art;Evolutionary Intelligence;2021-11-12

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