An Improved Genetic Algorithm Based on K2(m) Triangulation of Continuous Self-Mapping

Jing Jun Zhang; Huan Chen; Rui Zhen Gao

doi:10.4028/www.scientific.net/AMR.295-297.2515

Paper Titles

An Accurate Exposure Time Measurement Method of CCD Cameras
p.2496

Finite Element Optimization Design of the Drum of Storage Winch
p.2501

Research on Virtual Design System for Spindle of High-Speed Machining Center
p.2506

Simulation of Kinematic Movement for Invert Arch Floor of Plunge Pool with Numerical Manifold Method
p.2511

An Improved Genetic Algorithm Based on K₂(m) Triangulation of Continuous Self-Mapping
p.2515

A Novel CNC Grinding Method for Relief Surface Based on a CAM System
p.2521

Structural Optimization Based on Stochastic Finite Element Analysis and Optimality Criteria Methods
p.2526

Wave-Induced Load Study on a Deck Barge
p.2531

The Impact of Meshing Transmission of Arc Gear by Hobbing Method and Central Distance Error
p.2534

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 295-297An Improved Genetic Algorithm Based on K2(m)...

An Improved Genetic Algorithm Based on K₂(m) Triangulation of Continuous Self-Mapping

Abstract:

In this paper an improved genetic algorithm based on the simplex self-mapping fixed point algorithm is proposed. With this algorithm, the optimal problem of n-dimensional closure function will be transformed as the solution of approximate fixed point problem of n-dimensional standard simplexes by homeomorphism mapping. The genetic operators relying on the integer labels are designed. In this case, whether every individual loading simplex of the population is a completely labeled simplex can be used as an objective convergence criterion. The simulation results demonstrate that the proposed algorithm is valid and effective.

You might also be interested in these eBooks

Manufacturing Science and Technology, AEMT2011

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 295-297)

Pages:

2515-2520

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.295-297.2515

Citation:

Cite this paper

Online since:

July 2011

Authors:

Jing Jun Zhang, Huan Chen, Rui Zhen Gao

Keywords:

Fixed Point, Genetic Algorithm (GA), Homeomorphism Mapping, K₂(m) Triangulation, Optimization

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] R.A. Wehage and N.C. Barman: Design Sensitivity Analysis of Planar Mechanism and Machine Dynamics, ASME J. Mech, Des. , (1981), 103, P. 560-570

DOI: 10.1115/1.3254955

Google Scholar

[2] J. Holland: Adoptation in Natural and Artificial Systems [M], University of Michigan Press, (1992), P. 44~50

Google Scholar

[3] Yanling Gao and Juan Yao: Journal of Henan Mechanical and Electrical Engineering College, Vol.12(2004), P. 55 (In Chinese)

Google Scholar

[4] Huafen Yang: Journal of Chongqing Technology and Business University :Natural Science Edition, Vol.26(2009), P.148~151 (In Chinese)

Google Scholar

[5] Zeke Wang: Simplicial Fixed Points Algorithm. National University of Defense Technology Press, (1993) (In Chinese)

Google Scholar

[6] Yingjie Lei, Shanwen Zhang, Xuwu Li and Chuangming Zhou: MATLAB Genetic Algorithm Toolbox and its Application, Xi'an Electronic Sience &Technology University Press ,(2005) (In Chinese)

Google Scholar