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An evolvable hardware method based on elite Partheno-Genetic Algorithm

delete2021-12-01
delete4
PRE
AI
刘
刘力军 (Lijun Liu) *
T
Tao Wang
DOI:10.1016/j.asoc.2021.107904delete
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摘要

摘要

En 中文
Aiming at the shortcomings of traditional genetic algorithm (GA) in the overall evolution of hardware, such as slow speed and small scale, a method of evolvable hardware (EHW) based on elite Partheno-Genetic Algorithm (PGA) is proposed. To improve the evolution efficiency of EHW, the number of chromosomes is reduced, the length of the chromosome is increased, the elite node chain is reserved, and the connection relationship of non-elite nodes is adjusted. The experimental results show that: compared with the existing literature, the evolution speed is increased 144 times on average, the overall scale of evolution is increased 74.7 times, and the evolution efficiency is significantly improved. (C) 2021 Elsevier B.V. All rights reserved.
Keyword:
Elite Partheno-Genetic Algorithm
Evolvable hardware
Elite node chain
Variable length coding
Overall evolution

期刊

Applied Soft Computing 封面图
Applied Soft Computing
IF:
6.6
论文数:
1.4W
被引数:
4.8W

机构

A
Army Engineering University of PLA
学者数:
5.0K
论文数: 3.7K
被引数: 5
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