Optimization in Chiller Loading Operation Using Genetic Algorithm-Reference-Cited by-同舟云学术

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Optimization in Chiller Loading Operation Using Genetic Algorithm

Published:2024-07-06 Issue: Volume: Page:1-9
ISSN:
Container-title:2024 IEEE Symposium on Industrial Electronics & Applications (ISIEA)
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Author:

bin Azman Aniq Syahmi¹,Shaari Syirrazie²,Othman Mohammad Lutfi³,Mazalan Lucyantie¹

Affiliation:

1. School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA,Shah Alam,Selangor,Malaysia

2. Bahagian Sokongan Teknikal Agensi Nuklear Malaysia,Kajang,Selangor,Malaysia

3. Universiti Putra Malaysia,Faculty of Engineering,Department of Electrical & Electronic Engineering,Serdang,Selangor,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10607153/10607159/10607374.pdf?arnumber=10607374

Reference25 articles.

1. Optimal chiller loading solution for energy conservation using Barnacles Mating Optimizer algorithm

2. Optimal chiller loading by improved parallel particle swarm optimization algorithm for reducing energy consumption

3. Optimal chiller loading by improved artificial fish swarm algorithm for energy saving

4. Multi-strategy adaptable ant colony optimization algorithm and its application in robot path planning

5. Minimizing total completion time on non-identical parallel batch machines with arbitrary release times using ant colony optimization

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