Layout optimization of looped networks by constrained ant colony optimisation algorithm

被引:12
作者
Rezaei, Ghahreman [1 ]
Afshar, Mohammad Hadi [2 ]
Rohani, Maryam [1 ]
机构
[1] Iran Univ Sci & Technol, Sch Civil Engn, Tehran, Iran
[2] Iran Univ Sci & Technol, Sch Civil Engn & Envirohydroinformat COE, Tehran, Iran
关键词
Pipe networks; Max-min ant colony algorithm; Optimization; Layout; Reliability; Looped networks; WATER DISTRIBUTION-SYSTEMS; OPTIMAL-DESIGN; TREE NETWORKS; EVOLUTION PROGRAM; GENETIC ALGORITHM; RELIABILITY;
D O I
10.1016/j.advengsoft.2014.01.009
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A constrained version of ant colony optimisation algorithm (ACOA) is proposed in this paper for layout optimization of looped water distribution networks. A novel formulation is used to represent the layout optimization problem of pipe networks in the proper form required for the application of the ant algorithm. The proposed formulation is based on the engineering concept of reliability in which the number of independent paths from the source node to each of the network nodes is considered as a measure of reliability. In the proposed formulation, the ants are constrained to choose from the options provided by a constraining procedure so that only looped layouts are constructed by the ant leading to huge reduction of search space size compared to the original search space. Three different constraining procedures are used leading to three different algorithms. The proposed methods are used to find the optimal layout of three benchmark examples from the literature and the results are presented and compared to the ' results of the conventional ant colony optimization algorithm. The results show the efficiency and effectiveness of the proposed method for optimal layout determination of looped networks. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:123 / 133
页数:11
相关论文
共 50 条
[31]   An augmented Lagrangian ant colony based method for constrained optimization [J].
Mahdavi, Asghar ;
Shiri, Mohammad Ebrahim .
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2015, 60 (01) :263-276
[32]   Simultaneous Layout and Size Optimization of Water Distribution Networks: Engineering Approach [J].
Afshar, M. H. ;
Akbari, M. ;
Marino, M. A. .
JOURNAL OF INFRASTRUCTURE SYSTEMS, 2005, 11 (04) :221-230
[33]   Application of ant colony optimization algorithm in process planning optimization [J].
Liu, Xiao-jun ;
Yi, Hong ;
Ni, Zhong-hua .
JOURNAL OF INTELLIGENT MANUFACTURING, 2013, 24 (01) :1-13
[34]   A modified ant colony optimization algorithm (mACO) for energy efficient wireless sensor networks [J].
Sharma, Vishal ;
Grover, Amit .
OPTIK, 2016, 127 (04) :2169-2172
[35]   A multi-objective ant colony optimization algorithm for community detection in complex networks [J].
Shahabi Sani, Naeem ;
Manthouri, Mohammad ;
Farivar, Faezeh .
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2020, 11 (01) :5-21
[36]   Hybrid algorithm combining ant colony optimization algorithm with genetic algorithm [J].
Shang, Gao ;
Jiang Xinzi ;
Tang Kezong .
PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 5, 2007, :701-+
[37]   AI-based 3D pipe automation layout with enhanced ant colony optimization algorithm [J].
Liu, Chao ;
Wu, Lei ;
Li, Guangxin ;
Xiao, Wensheng ;
Tan, Liping ;
Xu, Dengpan ;
Guo, Jingjing .
AUTOMATION IN CONSTRUCTION, 2024, 167
[38]   Applying multi-objective ant colony optimization algorithm for solving the unequal area facility layout problems [J].
Liu, Jingfa ;
Liu, Jun .
APPLIED SOFT COMPUTING, 2019, 74 :167-189
[39]   Inverted Ant Colony Optimization Algorithm for Data Replication in Cloud Computing [J].
Yang, Min .
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2023, 14 (07) :1029-1038
[40]   A Pareto-based memetic algorithm for optimization of looped water distribution systems [J].
Banos, Raul ;
Gil, Consolacion ;
Reca, Juan ;
Ortega, Julio .
ENGINEERING OPTIMIZATION, 2010, 42 (03) :223-240