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

页码：32 / 35

页数：4

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