Selective maintenance process optimization based on an improved gravitational search algorithm, from the perspective of energy consumption-Reference-Cited by-同舟云学术

Selective maintenance process optimization based on an improved gravitational search algorithm, from the perspective of energy consumption

Published:2019-09-05 Issue:8 Volume:52 Page:1401-1420
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Zhang Lele¹^ORCID,Zhang Libin¹,Shan Hongying²,Shan Hongmei¹

Affiliation:

1. Transportation College, Jilin University, Changchun, People’s Republic of China

2. College of Mechanical and Aerospace Engineering, Jilin University, Changchun, People’s Republic of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2019.1657111

Reference34 articles.

1. Optimal SSSC design for damping power systems oscillations via Gravitational Search Algorithm

2. Energy optimization in chiller plants: A novel formulation and solution using a hybrid optimization technique

3. Differential evolution algorithm as a tool for optimal feature subset selection in motor imagery EEG

4. Parameter estimation of solar cells using datasheet information with the application of an adaptive differential evolution algorithm

5. Application of the gravity search algorithm to multi-reservoir operation optimization

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