Particle Swarm Optimization on FPGA

被引：0
|
作者：
Ettouil, Monia [1 ,2 ]
Smei, Habib [3 ,4 ]
Jemai, Abderrazak [3 ,5 ]
机构：
[1] Univ Carthage, EPT, SERCOM Lab, Tunis, Tunisia
[2] ISET Jendouba, DGET, Jendouba, Tunisia
[3] Univ Tunis El Manar, FST, LIP2 Lab, Tunis 2092, Tunisia
[4] ISET Rades, DGET, Rades, Tunisia
[5] Univ Carthage, INSAT, Tunis, Tunisia
来源：
2018 30TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS (ICM) | 2018年
关键词：
Particle Swarm Optimization; FPGA; IP; Xilinx; Hardware implementation; ZedBoard; ALGORITHM;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The particle swarm optimization PSO is an attractive domain for community looking to enhance time for optimal solutions. Several works will be done for SW or SW/HW implementation. The latter often gives better performance. In this paper, we present a comparative study of these various solutions and we focus on the FPGA ones. Our approach is based on a codesign methodology which adjusts performance parameters at design time.
引用
收藏
页码：32 / 35
页数：4
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