Paper Info
Title
Improving evolvable hardware by applying the speciation technique
Abstract
Evolvable hardware (EHW) has recently become a highly attractive topic of study because it offers a way of adapting hardware to a given embedded environment. However, it is not easy to evolve hardware efficiently and effectively, so many challenges continue to exist when trying to solve problems. In this paper, we propose a method that uses the speciation technique to enable diverse circuits to evolve efficiently by the process of one-step evolution. As a result of studying the landscape contained in the EHW example, we have found complicated spaces contain many peaks that can lead to deceptions when using the evolving process, and the speciation technique profits from the evolution of EHW. We also studied that the speciated hardware ensemble might be a good candidate for more complex and rigorous function. In the experiments, we applied the fitness sharing method as the speciation technique, and obtained diverse hardware modules, then ascertained the efficiency of these structures. We also show that several useful extra functions and better overall performance can be obtained by analyzing diverse circuits with the speciation technique.
Year
DOI
Venue
2009
10.1016/j.asoc.2008.01.011
Appl. Soft Comput.
Keywords
Field
DocType
improving evolvable hardware,fitness sharing,diverse hardware module,fitness sharing method,extra function,evolvable hardware,attractive topic,digital circuit design,speciation technique profit,diverse circuit,speciated hardware ensemble,one-step evolution,ehw example,speciation technique,profitability,digital circuits
Fitness sharing,Evolvable hardware,Artificial intelligence,Electronic circuit,Machine learning,Hardware modules,Digital circuit design,Mathematics
Journal
Volume
Issue
ISSN
9
1
Applied Soft Computing Journal
Citations 
PageRank 
References 
5
0.47
8
Authors
2
Name
Order
Citations
PageRank
Keum-Sung Hwang11097.25
Sung-Bae Cho22875265.52