Paper Title:
One Optimizing Method for Moments of Inertia Applied with Improved Adaptive Genetic Algorithm
  Abstract

In this paper, a new optimizing method for the moments of inertia of a mechanical structure was advanced. First, a new optimal model for the moments of inertia was advanced, which only involved with single objective and single variable, in order to reduce the calculating complexity of traditional multi-objective and multi-constrained optimizing model for the moments of inertia; Then, a new strategy for the probability selection of the crossover and mutation operation was improved to form the IAGA. The calculating results proved that, comparing to the Standard Genetic Algorithm (SGA), the IAGA improved in this paper had the advantage of converging faster, more powerfully searching, and less possible of falling into the local optimum. By that, the feasibility of the method advanced in this paper was demonstrated.

  Info
Periodical
Advanced Materials Research (Volumes 328-330)
Chapter
Chapter 1: Manufacturing Technology and Processing
Edited by
Liangchi Zhang, Chunliang Zhang and Zichen Chen
Pages
54-57
DOI
10.4028/www.scientific.net/AMR.328-330.54
Citation
H. H. Sun, M. Z. Luo, X. Dong, S. H. Zha, "One Optimizing Method for Moments of Inertia Applied with Improved Adaptive Genetic Algorithm", Advanced Materials Research, Vols. 328-330, pp. 54-57, 2011
Online since
September 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yan Xin Liu, Yu Long Wang, Shen Tao Qin, Fei Fei Liu
Abstract:Coating pore structure of low gloss coated paper based on different pigment blends was analyzed using mercury intrusion method in this paper....
1178
Authors: Lin Lan Liu, Xiang Xian Yu, Xin Fan, Jian Shu
Chapter 7: Management, Computation and Information Technologies
Abstract:It was researched that the aviation embedded airborne software testing , because of software quality and reliability assurance.In order to...
447
Authors: Ya Jian Xu, Yi Qun Yang
Chapter 4: Practice of Data Processing for Intelligent Systems
Abstract:An optional method for calculating parameters of zero-displacement-error ITAE standard forms based on modified particle swarm algorithm is...
539