Parallel design of intelligent optimization algorithm based on FPGA

Intelligent optimization algorithm (IOA) has been widely studied and applied to solve various optimization problems. When scholars improve IOA with mathematical methods, they also want to seek an effective method to implement algorithms with higher real time, especially for a complex problem. Parall...

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Vydáno v:	International journal of advanced manufacturing technology Ročník 94; číslo 9-12; s. 3399 - 3412
Hlavní autoři:	Zou, Xiaofu, Wang, Lina, Tang, Yue, Liu, Yilong, Zhan, Shicheng, Tao, Fei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.02.2018 Springer Nature B.V
Témata:	CAE) and Design Computer architecture Computer simulation Computer-Aided Engineering (CAD Design optimization Engineering Field programmable gate arrays Genetic algorithms Industrial and Production Engineering Industrial applications Job shop scheduling Job shops Mechanical Engineering Media Management Optimization algorithms Original Article Parallel programming Particle swarm optimization Production scheduling Real time Intelligent optimization algorithm (IOA) Compute unified device architecture (CUDA) Field programmable gate array (FPGA) Real-time Open multi-processing (OpenMP)
ISSN:	0268-3768, 1433-3015
On-line přístup:	Získat plný text
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