Real-Time Particle Swarm Optimization on FPGA for the Optimal Message-Chain Structure
| Autor: | Yongsung Kwon, Heoncheol Lee, Ki-Pyo Kim, Hong Eonpyo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Optimization problem
Computer Networks and Communications Computer science lcsh:Electronics Structure (category theory) PSO Particle swarm optimization lcsh:TK7800-8360 020206 networking & telecommunications 02 engineering and technology Parallel computing Chain structure Hardware and Architecture Control and Systems Engineering Signal Processing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing message-chain structure Electrical and Electronic Engineering Field-programmable gate array real-time optimization Throughput (business) FPGA |
| Zdroj: | Electronics, Vol 7, Iss 11, p 274 (2018) Electronics Volume 7 Issue 11 |
| ISSN: | 2079-9292 |
| Popis: | This paper addresses the real-time optimization problem of the message-chain structure to maximize the throughput in data communications based on half-duplex command-response protocols. This paper proposes a new variant of the particle swarm optimization (PSO) algorithm to resolve real-time optimization, which is implemented on field programmable gate arrays (FPGA) to be performed faster in parallel and to avoid the delays caused by other tasks on a central processing unit. The proposed method was verified by finding the optimal message-chain structure much faster than the original PSO, as well as reliably with different system and algorithm parameters. |
| Databáze: | OpenAIRE |
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