Development of a distributed artificial fish swarm algorithm to optimize pumps working in parallel mode-Reference-Cited by-同舟云学术

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Development of a distributed artificial fish swarm algorithm to optimize pumps working in parallel mode

Published:2017-10-04 Issue:3 Volume:24 Page:248-258
ISSN:2374-4731
Container-title:Science and Technology for the Built Environment
language:en
Short-container-title:Science and Technology for the Built Environment

Author:

Yu Hao¹,Zhao Tianyi¹,Zhang Jili¹

Affiliation:

1. Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China

Funder

Dalian University of Technology

National Natural Science Foundation of China

Dalian Municipal Science and Technology Plan Project

Publisher

Informa UK Limited

Subject

Fluid Flow and Transfer Processes,Building and Construction,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/23744731.2017.1375011

Reference18 articles.

1. A Hybrid of Artificial Fish Swarm Algorithm and Particle Swarm Optimization for Feedforward Neural Network Training

2. A decentralized algorithm for optimal distribution in HVAC systems

3. Efficient Job Scheduling in Grid Computing with Modified Artificial Fish Swarm Algorithm

4. Optimal artificial fish swarm algorithm for the field calibration on marine navigation

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1. Intelligent Collaborative Optimal Scheduling for Water Intake-Supply Pump Groups in Drinking Water Treatment Plants;International Journal of Energy Research;2024-01-16

2. Flow distribution optimization of parallel pumps based on improved mayfly algorithm;Journal of Intelligent & Fuzzy Systems;2023-01-30

3. Data-oriented distributed overall optimization for large-scale HVAC systems with dynamic supply capability and distributed demand response;Building and Environment;2022-08

4. Study of distributed model predictive control for radiant floor heating systems with hydraulic coupling;Building and Environment;2022-08

5. A self-organization method for logic control of distributed building automation system;Journal of Building Engineering;2022-08

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