Optimal chiller loading by improved artificial fish swarm algorithm for energy saving-Reference-Cited by-同舟云学术

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

Published:2019-01 Issue: Volume:155 Page:227-243
ISSN:0378-4754
Container-title:Mathematics and Computers in Simulation
language:en
Short-container-title:Mathematics and Computers in Simulation

Author:

Zheng Zhi-xin,Li Jun-qing^ORCID,Duan Pei-yong

Funder

National Science Foundation of China

Shandong Province Higher Educational Science and Technology Program

Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education

State Key Laboratory of Synthetical Automation for Process Industries

Publisher

Elsevier BV

Subject

Applied Mathematics,Modelling and Simulation,Numerical Analysis,General Computer Science,Theoretical Computer Science

Reference69 articles.

1. A novel approach for optimal chiller loading using particle swarm optimization;Ardakani;Energy Build.,2008

2. ASHRAE. ASHRAE handbook. New York: 2000.

3. A simplified binary artificial fish swarm algorithm for 0-1 quadratic knapsack problems;Azad;J. Comput. Appl. Math.,2014

4. Improved binary artificial fish swarm algorithm for the 0-1 multidimensional knapsack problems;Azad;Swarm Evol. Comput.,2014

5. Multi-objective artificial bee algorithm based on decomposition by PBI method;Bai;Appl. Intell.,2016

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