Global Optimization for the Synthesis of Integrated Water Systems with Particle Swarm Optimization Algorithm

罗祎青; 袁希钢

Your Location：

Home >

Browse articles >

Global Optimization for the Synthesis of Integrated Water Systems with Particle Swarm Optimization Algorithm

Updated：2026-01-06

- Global Optimization for the Synthesis of Integrated Water Systems with Particle Swarm Optimization Algorithm
- Chinese Journal of Chemical Engineering Vol. 16, Issue 1, Pages: 11-15(2008)
- Affiliations：
  
  State Key Laboratory of Chemical Engineering, Chemical Engineering Research Center, Tianjin University,Tianjin,China,300072
- Author bio：
- Funds：
- DOI：
  CLC：
- Published：2008
- Accepted：
Scan QR Code
LUO Yiqing, YUAN Xigang. Global Optimization for the Synthesis of Integrated Water Systems with Particle Swarm Optimization Algorithm[J]. Chin.J.Chem.Eng., 2008, 16(1): 11-15.
DOI：

LUO Yiqing, YUAN Xigang. Global Optimization for the Synthesis of Integrated Water Systems with Particle Swarm Optimization Algorithm[J]. Chin.J.Chem.Eng., 2008, 16(1): 11-15. DOI：

摘要

Abstract

The problem of optimal synthesis of an integrated water system is addressed in this study

where water using processes and water treatment operations are combined into a single network such that the total cost of fresh water and wastewater treatment is globally minimized. A superstructure that incorporates all feasible design alterna-tives for wastewater treatment

reuse and recycle

is synthesized with a non-linear programming model. An evolutionary approach—an improved particle swarm optimization is proposed for optimizing such systems. Two simple examples are presented to illustrate the global optimization of integrated water networks using the proposed algorithm.

关键词

Keywords

references

Views

1227

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Stochastic neuro-swarming intelligence paradigm for the analysis of magneto-hydrodynamic Prandtl-Eyring fluid flow with diffusive magnetic layers effect over an elongated surface

Cascade refrigeration system synthesis based on hybrid simulated annealing and particle swarm optimization algorithm

Closed-loop scheduling optimization strategy based on particle swarm optimization with niche technology and soft sensor method of attributes-applied to gasoline blending process

Refrigeration system synthesis based on de-redundant model by particle swarm optimization algorithm

The Velocity Measurement of Two-phase Flow Based on Particle Swarm Optimization Algorithm and Nonlinear Blind Source Separation

Related Author

Muhammad Asif Zahoor Raja

Hira Ilyas

Syed Ibrar Hussain

Muhammad Shoaib

Iftikhar Ahmad

Zeeshan Ikram Butt

Xigang Yuan

Yiqing Luo

Related Institution

Future Technology Research Centre, National Yunlin University of Science and Technology, Yunlin

Department of Physical Sciences, University of Chenab, Gujrat

Department of Mathematics, University of Houston

Department of Mathematics and Computer Science, University of Palermo, Via Archirafi 34

Yuan Ze University, AI Center, Taoyuan

⁰