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
- Global Optimization for the Synthesis of Integrated Water Systems with Particle Swarm Optimization Algorithm
- 中国化学工程学报（英文版） 2008年16卷第1期页码：11-15
- Affiliations：
  
  State Key Laboratory of Chemical Engineering, Chemical Engineering Research Center, Tianjin University,Tianjin,China,300072
- Author bio：
- Funds：
- DOI：
  中图分类号：
- 纸质出版：2008
- Accepted：
Scan QR Code
罗祎青, 袁希钢. Global Optimization for the Synthesis of Integrated Water Systems with Particle Swarm Optimization Algorithm[J]. 中国化学工程学报（英文版）, 2008,16(1):11-15.

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.
罗祎青, 袁希钢. Global Optimization for the Synthesis of Integrated Water Systems with Particle Swarm Optimization Algorithm[J]. 中国化学工程学报（英文版）, 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

浏览量

1227

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

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