The research on multi-objective optimization method of system reliability based on the genetic algorithms

Yuan Yin; Yunxia Chen

doi:10.1109/ICRMS.2014.7107274

The research on multi-objective optimization method of system reliability based on the genetic algorithms

Yuan Yin
, Yunxia Chen

School of Reliability and Systems Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Based on the Genetic Algorithms, we choose the weights randomly. In general, the different weights can result in different solutions, even a very small perturbation in the weights can sometimes lead to quite different solutions. At last, we conduct the simulation by using a typical 4-stage series-parallel system. It is concluded from the simulation results that the GA used in this paper can get higher values of reliability and entropy, meanwhile the optimal solution doesn't vary in spite of the various choices of weight of each objective function. Compared with the existing work in which they use the Global Criterion Method, which has the difficulty in choosing weights, the method used in this paper is better.

In this paper, we consider a series-parallel system to solve the optimization problem of reliability redundancy with two different objective functions, the entropy and the reliability, by analyzing the advantages and disadvantages of the current methods used to solve optimization of system reliability redundancy. We present the algorithms and processes to settle the multi-objective optimization problem of reliability redundancy based on the Genetic Algorithms.

Original language	English
Title of host publication	ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety
Subtitle of host publication	More Reliable Products, More Secure Life
Editors	Yunfei En, Chunyang Ji
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	640-644
Number of pages	5
ISBN (Electronic)	9781479919925
DOIs	https://doi.org/10.1109/ICRMS.2014.7107274
State	Published - 13 May 2014
Event	2014 10th International Conference on Reliability, Maintainability and Safety, ICRMS 2014 - Guangzhou, China Duration: 6 Aug 2014 → 8 Aug 2014

Publication series

Name	ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety: More Reliable Products, More Secure Life

Conference

Conference	2014 10th International Conference on Reliability, Maintainability and Safety, ICRMS 2014
Country/Territory	China
City	Guangzhou
Period	6/08/14 → 8/08/14

Keywords

Entropy
Gentics algorithms
Multi-objective optimization
Reliability redundancy

Access to Document

10.1109/ICRMS.2014.7107274

Cite this

Yin, Y., & Chen, Y. (2014). The research on multi-objective optimization method of system reliability based on the genetic algorithms. In Y. En, & C. Ji (Eds.), ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety: More Reliable Products, More Secure Life (pp. 640-644). Article 7107274 (ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety: More Reliable Products, More Secure Life). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRMS.2014.7107274

Yin, Yuan ; Chen, Yunxia. / The research on multi-objective optimization method of system reliability based on the genetic algorithms. ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety: More Reliable Products, More Secure Life. editor / Yunfei En ; Chunyang Ji. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 640-644 (ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety: More Reliable Products, More Secure Life).

@inproceedings{6e1f5f080f384b5884db3e61256a6f4d,

title = "The research on multi-objective optimization method of system reliability based on the genetic algorithms",

abstract = "Based on the Genetic Algorithms, we choose the weights randomly. In general, the different weights can result in different solutions, even a very small perturbation in the weights can sometimes lead to quite different solutions. At last, we conduct the simulation by using a typical 4-stage series-parallel system. It is concluded from the simulation results that the GA used in this paper can get higher values of reliability and entropy, meanwhile the optimal solution doesn't vary in spite of the various choices of weight of each objective function. Compared with the existing work in which they use the Global Criterion Method, which has the difficulty in choosing weights, the method used in this paper is better.In this paper, we consider a series-parallel system to solve the optimization problem of reliability redundancy with two different objective functions, the entropy and the reliability, by analyzing the advantages and disadvantages of the current methods used to solve optimization of system reliability redundancy. We present the algorithms and processes to settle the multi-objective optimization problem of reliability redundancy based on the Genetic Algorithms.",

keywords = "Entropy, Gentics algorithms, Multi-objective optimization, Reliability redundancy",

author = "Yuan Yin and Yunxia Chen",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 10th International Conference on Reliability, Maintainability and Safety, ICRMS 2014 ; Conference date: 06-08-2014 Through 08-08-2014",

year = "2014",

month = may,

day = "13",

doi = "10.1109/ICRMS.2014.7107274",

language = "英语",

series = "ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety: More Reliable Products, More Secure Life",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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editor = "Yunfei En and Chunyang Ji",

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Yin, Y & Chen, Y 2014, The research on multi-objective optimization method of system reliability based on the genetic algorithms. in Y En & C Ji (eds), ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety: More Reliable Products, More Secure Life., 7107274, ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety: More Reliable Products, More Secure Life, Institute of Electrical and Electronics Engineers Inc., pp. 640-644, 2014 10th International Conference on Reliability, Maintainability and Safety, ICRMS 2014, Guangzhou, China, 6/08/14. https://doi.org/10.1109/ICRMS.2014.7107274

The research on multi-objective optimization method of system reliability based on the genetic algorithms. / Yin, Yuan; Chen, Yunxia.
ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety: More Reliable Products, More Secure Life. ed. / Yunfei En; Chunyang Ji. Institute of Electrical and Electronics Engineers Inc., 2014. p. 640-644 7107274 (ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety: More Reliable Products, More Secure Life).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The research on multi-objective optimization method of system reliability based on the genetic algorithms

AU - Yin, Yuan

AU - Chen, Yunxia

PY - 2014/5/13

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N2 - Based on the Genetic Algorithms, we choose the weights randomly. In general, the different weights can result in different solutions, even a very small perturbation in the weights can sometimes lead to quite different solutions. At last, we conduct the simulation by using a typical 4-stage series-parallel system. It is concluded from the simulation results that the GA used in this paper can get higher values of reliability and entropy, meanwhile the optimal solution doesn't vary in spite of the various choices of weight of each objective function. Compared with the existing work in which they use the Global Criterion Method, which has the difficulty in choosing weights, the method used in this paper is better.In this paper, we consider a series-parallel system to solve the optimization problem of reliability redundancy with two different objective functions, the entropy and the reliability, by analyzing the advantages and disadvantages of the current methods used to solve optimization of system reliability redundancy. We present the algorithms and processes to settle the multi-objective optimization problem of reliability redundancy based on the Genetic Algorithms.

AB - Based on the Genetic Algorithms, we choose the weights randomly. In general, the different weights can result in different solutions, even a very small perturbation in the weights can sometimes lead to quite different solutions. At last, we conduct the simulation by using a typical 4-stage series-parallel system. It is concluded from the simulation results that the GA used in this paper can get higher values of reliability and entropy, meanwhile the optimal solution doesn't vary in spite of the various choices of weight of each objective function. Compared with the existing work in which they use the Global Criterion Method, which has the difficulty in choosing weights, the method used in this paper is better.In this paper, we consider a series-parallel system to solve the optimization problem of reliability redundancy with two different objective functions, the entropy and the reliability, by analyzing the advantages and disadvantages of the current methods used to solve optimization of system reliability redundancy. We present the algorithms and processes to settle the multi-objective optimization problem of reliability redundancy based on the Genetic Algorithms.

KW - Entropy

KW - Gentics algorithms

KW - Multi-objective optimization

KW - Reliability redundancy

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A2 - Ji, Chunyang

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 10th International Conference on Reliability, Maintainability and Safety, ICRMS 2014

Y2 - 6 August 2014 through 8 August 2014

ER -

Yin Y, Chen Y. The research on multi-objective optimization method of system reliability based on the genetic algorithms. In En Y, Ji C, editors, ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety: More Reliable Products, More Secure Life. Institute of Electrical and Electronics Engineers Inc. 2014. p. 640-644. 7107274. (ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety: More Reliable Products, More Secure Life). doi: 10.1109/ICRMS.2014.7107274

The research on multi-objective optimization method of system reliability based on the genetic algorithms

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Keywords

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