The Research on the Improved Genetic Algorithm and Optimized Based on the Random Functional Analysis

Zheng Bing Xia; Zhi Xiang Cao; Ke Feng Zhang

doi:10.4028/www.scientific.net/AMM.166-169.819

Paper Titles

Deformation-Based Nonlinear Finite Element Analysis of Steel High Performance Concrete Structural Walls
p.797

A New Type of Pile – Long with Cushion-Short without Cushion Rigid Pile
p.803

Analysis of Cable Force Loss of Prestressing Structure during Tension Construction
p.809

Research on Behavior of Composite Joints Consisting of Concrete and Steel
p.815

The Research on the Improved Genetic Algorithm and Optimized Based on the Random Functional Analysis
p.819

Analysis of Elasticity Solution of Bi-Direction Functionally Graded Piezoelectric Beam Subject to Voltage
p.824

Bond Performance in Machined Reinforcing Bar for Reinforced Concrete
p.828

Monotonic Performance of Lightweight Concrete Shear Walls
p.832

Experimental Research on Full-Scale Reinforced Concrete Columns with Strong Confinement under Concentric Compression
p.836

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 166-169The Research on the Improved Genetic Algorithm and...

The Research on the Improved Genetic Algorithm and Optimized Based on the Random Functional Analysis

Abstract:

The optimization problem of building structure has the technical difficulties of nonlinear, discrete, indifferentiable and nonconvexity character, the traditional algorithm based on MATLAB can not solve practical engineering optimization problem accurately. Based on general genetic algorithm is as the foundation in this paper, the theory basis of modified algorithm is applied based on the application of functional analysis and analyses the genetic algorithm for the iterative characteristics is analyzed, and the three stem rod calculation is verified based on application of functional analysis improved genetic algorithm, which solves the optimized design of common rod technical problem and achieves good calculation accuracy and efficiency.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 166-169)

Pages:

819-823

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.166-169.819

Citation:

Cite this paper

Online since:

May 2012

Authors:

Zheng Bing Xia, Zhi Xiang Cao, Ke Feng Zhang

Keywords:

Improved Genetic Algorithm (IGA), Random Functional Analysis, Structure Optimization, Truss Structure

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

References

[1] Wang shuyu, Liuguohua. Structure optimization design of the status and progress, submitted to Journal of Construction optimization, 3-15 (1999).

Google Scholar

[2] Wang lei. Structure optimization of genetic algorithm is used to study and application [D]. Hebei university of master's degree thesis, 1-54 (2004).

Google Scholar

[3] Qiao zhihong. Truss structure optimization theory and software section [D]. Beijing University of master's degree thesis, 16-28 (2002).

Google Scholar

[4] Chen yanmou.Truss structure optimization design of the application of genetic algorithm, submitted to Journal of Architectural industry, 72-76 (2003).

Google Scholar

[5] Liu chunliang. Truss and frame structure stability analysis and optimal design [D]. Dalian university of technology master's thesis, 1-23 (2006).

Google Scholar

[6] Rudolph G. Convergence analysis of canonical genitival gorith, submitted to Journal of IEEE Trans on neural networks, 96-101 (1994).

Google Scholar

[7] Lu tongshan. Random functional analysis and application. Qingdao ocean university publishing, Qingdao (1990), in press.

Google Scholar