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Optimal Chiller Loading Using Improved Particle Swarm Optimization

2016
Reducing energy consumption is one of the most important for optimal electric-driven chiller operation. Therefore, even small reduction in power consumption will achieve significant energy savings. This paper adopts improved particle swarm optimization (IPSO), which is aiming to reduce energy consumption, and improve the performance of chillers.
Perumal Nallagownden   +3 more
openaire   +1 more source

An Improved Particle Swarm Optimization

2009 2nd International Conference on Biomedical Engineering and Informatics, 2009
Qin Yang, Danyang Wang
openaire   +1 more source

An Improved Particle Swarm Optimization

Computer Science and Technology, 2016
Li-kun WU, Jian ZHOU
openaire   +1 more source

An Improved Particle Swarm Optimization Algorithm

2023 IEEE 64th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), 2023
Meerah Karunanithi   +5 more
openaire   +1 more source

Improved particle swarm optimization combined with chaos

, 2005
Bo Liu   +4 more
semanticscholar   +1 more source

Parameter identification of chaotic dynamic systems through an improved particle swarm optimization

Expert Systems With Applications, 2010
Hamidreza Modares, Alireza Alfi
exaly  

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