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The Back Analysis Theory Based on the Modified Genetic Algorithms and It’s Apply on the Sedimentation Observation of the Electric Plant Power
Author: ZhangXiaoZhe
Tutor: WangYanChang;KongLiang
School: Ningxia University
Course: Solid Mechanics
Keywords: Inverse Analysis Improved Genetic Algorithm Computational Intelligence Settlement observation
CLC: TU196.2
Type: Master's thesis
Year: 2005
Downloads: 145
Quote: 4
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Abstract
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Anti- analysis is a common method of geotechnical engineering disciplines . Using traditional methods for anti- analysis, there are many practical engineering problems . In the introduction of anti- computational intelligence analysis, counter- analysis and geotechnical engineering to achieve computational intelligence combine to make the application of anti- analysis rose to a new height. Genetic algorithm is a commonly used in computational intelligence algorithms, many scholars at home and abroad to make use of its counter- analysis of geotechnical engineering . Drawing on paper based on the results of previous studies , relying on the power plant engineering background settlement observation , the proposed use of improved genetic algorithm foundation soil physical parameters back analysis . Paper is divided into six chapters. The first chapter . Chapter II Introduction to Genetic Algorithms , describes overview of the development of genetic algorithms , the basic idea , the basic characteristics of the basic operating procedures. The third chapter discusses the improved genetic algorithm inverse analysis theory program implementation process, a more detailed description of the program prepared by the author , its content, including program design , the main subroutine function introduction , the main program functions. Chapter settlement observation through the power plant field test , introduced the content and principles of settlement observation , as well as the settlement of the underlying data collection process . Chapter V is a numerical example section through specific examples , verify the programming of rationality and applicability . Chapter VI is the conclusion and outlook for this work are summarized , in-depth study of the future can be part discussed.
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CLC: > Industrial Technology > Building Science > Building surveying > Observation > Settlement observation
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