An Enhanced Water Flow Optimizer Incorporating Adaptive Weights and Search Step Sizes-Reference-Cited by-同舟云学术

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An Enhanced Water Flow Optimizer Incorporating Adaptive Weights and Search Step Sizes

Published:2023-11-03 Issue: Volume:11 Page:280-285
ISSN:
Container-title:2023 International Conference on New Trends in Computational Intelligence (NTCI)
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Author:

Jin Xudong¹,Gao Tong¹,Li Li²,Xiao Cong³,Lv Xiaocong³,Zhang Kai⁴,Wang Jian¹,Ablameyko Sergey⁵

Affiliation:

1. College of Science, China University of Petroleum (East China),Qingdao,China

2. Qingdao Product Quality TestingResearch Institute

3. College of Petroleum Engineering, China University of Petroleum (Beijing),Beijing,China

4. College of Petroleum Engineering, China University of Petroleum (East China),Qingdao,China

5. Belarusian State University,Minsk City,Belarus

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10403657/10403658/10403664.pdf?arnumber=10403664

Reference19 articles.

1. A comparative study of several metaheuristic algorithms for optimization problems

2. School Bus Routing using Metaheuristics Algorithms

3. On Neural Networks Modeling Based on GA, PSO and GW Optimization Techniques

4. Oil Well Placement Optimization Using Niche Particle Swarm Optimization

5. Design and Optimization of an Antenna Array for future 5G Applications using PSO Algorithm

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