Optimization of Industrial Water System Based on Artificial Bee Colony Algorithm

Kecheng Liu, Haojun Bi, Lijun Zhang, Yingnan Wang
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Abstract

Construct water system structure of thermal power plant based on decentralized wastewater treatment network which is composed of water consuming units and wastewater treatment units. Based on this structure, a nonconvex optimization problem is proposed in this paper and the present mathematical method cannot guarantee the exact solution. So we propose Artificial Bee Colony (ABC) algorithm to solve this complex model. Apply this algorithm to the solution of two examples, the solving process of examples shows that ABC algorithm has the advantages of fast solving speed, high solving accuracy and has a strong adaptability to different situations without relying on an initial point.
基于人工蜂群算法的工业用水系统优化
基于由用水单元和污水处理单元组成的分散式污水处理网络,构建火电厂水系统结构。基于这种结构,本文提出了一个非凸优化问题,现有的数学方法不能保证其精确解。为此,我们提出了人工蜂群(ABC)算法来求解这一复杂的模型。将该算法应用于两个算例的求解,算例的求解过程表明,ABC算法具有求解速度快、求解精度高、不依赖于初始点对不同情况的适应性强等优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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