Investigation and improvement of intelligent evolutionary algorithms for the energy cost optimization of an industry crude oil pipeline system-Reference-Cited by-同舟云学术

Investigation and improvement of intelligent evolutionary algorithms for the energy cost optimization of an industry crude oil pipeline system

Published:2022-03-24 Issue:5 Volume:55 Page:856-875
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Yuan Qing¹,Chen Zhimin²,Wang Xinran³,Yu Bo²^ORCID,Wei Jinjia¹

Affiliation:

1. School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, People’s Republic of China

2. School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing, People’s Republic of China

3. Department of Engineering & Construction, China National Oil and Gas Exploration and Development Company Ltd, Beijing, People’s Republic of China

Funder

National Natural Science Foundation 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.2022.2044805

Reference31 articles.

1. A survey on optimization metaheuristics

2. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems

3. Performance Comparison of Differential Evolution, Particle Swarm Optimization and Genetic Algorithm in the Design of Circularly Polarized Microstrip Antennas

4. Performance comparison of bio-inspired optimization algorithms for Sierpinski gasket fractal antenna design

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