NDLI: The Optimization Speed of Eitist Evolutionary Algorithms in Off-Line EHW

Content Provider	IEEE Xplore Digital Library
Author	Wei-Rong Guan Hai-Yun Zhou Bin Song
Copyright Year	2006
Description	Author affiliation: Inst. of Appl. Math. & Mech., Ordnance Eng. Coll., Shijiazhuang (Wei-Rong Guan; Hai-Yun Zhou)
Abstract	The evolvable hardware (EHW) enables the system to be self-adaptive, self-organizing and self-repairing by incorporating evolutionary algorithm (EAs). EHW has a great application potential in weapon equipment system. However, the evolutional speed is slow which impedes its application and development and there lacks theoretical results on optimization speed of evolutionary algorithm in EHW. Mutation has been regarded as one of the key features of EAs. It is important to understand in depth the effect of the mutation operator on evolution speed of EAs. The paper gives some theoretical results by deriving the estimation upper limit of the optimization speed and the mean first hitting time of a given problem. It is shown that estimation upper limit of the optimization speed is completely determined by the transition probability and initial distribution of the population. It is also shown that the mutation probability can have a drastic impact on the optimization speed. For a given problem, the range of mutation probability can be decided quantitatively
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	2154
Ending Page	2158
File Size	229427
Page Count	5
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258612
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Evolutionary computation Hardware Weapons Genetic mutations Educational institutions Impedance Aerospace electronics Field programmable gate arrays Mathematics Engineering management elitist evolutionary algorithm EHW optimization speed mutation
Content Type	Text
Resource Type	Article

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