NDLI: Maximum sampling sequence design study based on genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Gao Zhanguo
Copyright Year	2012
Description	Author affiliation: College of information technology, Beihua University, Jilin, China (Gao Zhanguo)
Abstract	The spatial design of experiment and information subset had been studied by correlated random sequence sampling. The problems in many applied region had been found, such as statistical geology, sampling sequence, and environmental statistics. In all applications, maximum sampling sequence can be selected and different location and times. In maximum sampling sequence design, the feasible design program would be taken when the design domain and time are discrete from the design goal and expected result. The main problem is how to solve the maximum sampling sequence design idea. This is the algorithm GA sequence theory problem. In order to apply the GA design in computer experiments, in many cases, the design space is not possible to calculate accurately. In order to improve the efficient experiment of sampling sequence, the GA algorithm is developed to take advantage of Robustness power of sequence algorithm. The test results show that design idea and construction are very efficient for solving the mistake.
Starting Page	1
Ending Page	4
File Size	297938
Page Count	4
File Format	PDF
ISBN	9781467344975
ISSN	21544824
e-ISBN	9781889334479
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-24
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Genetic algorithms Biological system modeling Computational modeling Algorithm design and analysis Computers Nickel Genetics GA spatial design maximum sampling computer exeriments
Content Type	Text
Resource Type	Article

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