Paper Title:
Complex Mechatronic System Reliability Optimization Using Hybrid Genetic Algorithm
  Abstract

Reliability allocation optimization problem of a complex mechatronic system is a highly nonlinear constrained optimization problem, and hence solution to this kind of problem is of NP-hardness even with moderate scale. Due to the nonlinearity combined with multiple local extreme values, traditional optimization techniques fail to arrive at the global or nearly global optimal solution to the problem. Genetic algorithm incorporated with neighboring domain traversal searching technique is utilized in this paper to solve the complex mechatronic system reliability optimization allocation problem. Reliability allocation optimization of the life-support system in a space capsule, being a typical non serial-parallel system, is specifically demonstrated to show the satisfactory convergence performance as well as the important practical value of hybrid genetic algorithm. The simulation results show that the proposed method may gain better precision in solving the complex mechatronic system reliability optimization problem.

  Info
Periodical
Chapter
Chapter 3: Chemical and Biomedical Engineering
Edited by
Honghua Tan
Pages
1296-1301
DOI
10.4028/www.scientific.net/AMM.138-139.1296
Citation
J. C. Wang, H. Qiu, J. M. Chen, G. D. Ji, "Complex Mechatronic System Reliability Optimization Using Hybrid Genetic Algorithm", Applied Mechanics and Materials, Vols. 138-139, pp. 1296-1301, 2012
Online since
November 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: Yong Xian Li, Bin Wang, Guang Ping Peng
Abstract:A new intelligent orthogonal optimization algorithm for robust design is proposed in order to improve accuracy and efficiency. The next...
301
Authors: Xiao Hua Wang, Yong Mei Zhang
Abstract:On the premise of ensuring safety and reliability in electricity market environment, the goal of State Grid Corporation is that purchase AGC...
274
Authors: Na Rui Bu, Run Shan Bai, Zhang Zhen Li, De Zhong Lin
Chapter 6: Vibration, Noise Analysis and Control
Abstract:Analysis of slope stability based on BP neural network, the analytical model of slope stability is built. Aiming at the defects that BP...
1263
Authors: Si Lian Xie, Tie Bin Wu, Shui Ping Wu, Yun Lian Liu
Chapter 18: Computer Applications in Industry and Engineering
Abstract:Evolutionary algorithms are amongst the best known methods of solving difficult constrained optimization problems, for which traditional...
2846
Authors: Hai Yan Wang
Chapter 6: Production Management
Abstract:This paper presents a hybrid algorithm to address the flexible job-shop scheduling problem (FJSP). Based on Differential Evolution (DE), a...
502