Respecting Life Cycle Management of Electrotechnical Equipment Based on Genetic Modeling Methods-Reference-Cited by-同舟云学术

Respecting Life Cycle Management of Electrotechnical Equipment Based on Genetic Modeling Methods

Published:2015-09 Issue: Volume:792 Page:113-121
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Petrochenkov Anton¹^ORCID

Affiliation:

1. Perm National Research Polytechnic University

Abstract

The approach to managing the lifecycle of electrical equipment based on genetic algorithms is considered in this paper. The distinction of the approach is in the use of genetic simulation methods regarding the effective maintenance of electrotechnical equipment. The interpretations of genetic operations in such approach are given. The function of the life cycle of electrotechnical equipment is introduced.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.792.113.pdf

Reference11 articles.

1. A.B. Petrochenkov, Regarding to Implementation of Genetic Algorithms in Life Cycle Management of Electrotechnical Equipment, Proc. of the Second International Conference on Applied Innovations in IT, E. Siemens (editor in chief) et al. Kothen, Anhalt University of Applied Sciences, 2014. – pp.79-83.

2. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, (1989).

3. H. Aytug , M. Khouja and F. E. Vergara, Use of genetic algorithms to solve production and operations management problems: A review, International Journal of Production Research, 2003, 41: 17, pp.3955-4009, DOI: 10. 1080/00207540310001626319.

4. D. Garg, K. Kumar and Meenu, Availability Optimization for Screw Plant Based on Genetic Algorithm, International Journal of Engineering Science and Technology, vol. 2, No. 4, pp.658-668, (2010).

5. S.P. Sharma, Y. Vishwakarma, Availability optimization of refining system of Sugar Industry by Markov process and Genetic Algorithm, Proc. of the 2014 International Conference on Reliability, Optimization and Information Technology, art. no. 6798290, pp.29-33.