Genetic Algorithm Based Combinatorial Optimization for the Optimal Design of Water Distribution Network of Gurudeniya Service Zone, Sri Lanka

被引:0
|
作者
Senavirathna, K. H. M. R. N. [1 ]
Walgampaya, C. K. [1 ]
机构
[1] Univ Peradeniya, Fac Engn, Dept Engn Math, Peradeniya, Sri Lanka
来源
ENGINEER-JOURNAL OF THE INSTITUTION OF ENGINEERS SRI LANKA | 2023年 / 56卷 / 04期
关键词
Genetic algorithm; Combinatorial optimization; Fuzzy set; Water distribution network; MODEL;
D O I
10.4038/engineer.v56i4.7621
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper brings an in-detail Genetic Algorithm (GA) based combinatorial optimization method used for the optimal design of the water distribution network (WDN) of Gurudeniya Service Zone, Sri Lanka. GAmimics the survival of the fittest principle of nature to develop a search process. Methodology employs fuzzy combinations of pipe diameters to check their suitability to be considered as the cost-effective optimal design solutions. Furthermore, the hydraulic constraints were implicitly evaluated within the GA itself in its aim for reaching the global optimum solution. Upon analysis, the results of GA approach delivered satisfactory design outputs.
引用
收藏
页码:47 / 55
页数:9
相关论文
共 50 条
  • [41] Layout Optimization of Large - scale Urban Water Supply Network Pressure Measuring Point Distribution Using Genetic Algorithm
    Luo, Huayi
    Wang, Jingcheng
    Li, Xiaocheng
    Zhu, Jiayu
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 1687 - 1691
  • [42] Combined flow and pressure deficit-based penalty in GA for optimal design of water distribution network
    Abdy Sayyed M.A.H.
    Gupta R.
    Tanyimboh T.
    ISH Journal of Hydraulic Engineering, 2021, 27 (S1) : 146 - 156
  • [43] Fault location in distribution network by solving the optimization problem using genetic algorithm based on the calculating voltage changes
    Dashtdar, Masoud
    Bajaj, Mohit
    Hosseinimoghadam, Seyed Mohammad Sadegh
    Mershekaer, Hamed
    SOFT COMPUTING, 2022, 26 (17) : 8757 - 8783
  • [44] Fault location in distribution network by solving the optimization problem using genetic algorithm based on the calculating voltage changes
    Masoud Dashtdar
    Mohit Bajaj
    Seyed Mohammad Sadegh Hosseinimoghadam
    Háméd Mérshêkáér
    Soft Computing, 2022, 26 : 8757 - 8783
  • [45] Optimal pipe replacement strategy based on break rate prediction through genetic programming for water distribution network
    Xu, Qiang
    Chen, Qiuwen
    Ma, Jinfeng
    Blanckaert, Koen
    JOURNAL OF HYDRO-ENVIRONMENT RESEARCH, 2013, 7 (02) : 134 - 140
  • [46] Multi-objective optimization design in a centrifugal pump volute based on an RBF neural network and genetic algorithm
    Guo, Rong
    Li, Xiaobing
    Li, Rennian
    ADVANCES IN MECHANICAL ENGINEERING, 2023, 15 (03)
  • [47] Optimization Of Maximum Lift To Drag Ratio On Airfoil Design Based On Artificial Neural Network Utilizing Genetic Algorithm
    Haryanto, Ismoyo
    Utomo, Tony Suryo
    Sinaga, Nazaruddin
    Rosalia, Citra Asti
    Putra, Aditya Pratama
    ADVANCES IN APPLIED MECHANICS AND MATERIALS, 2014, 493 : 123 - 128
  • [48] Comparative analysis of GMDH neural network based on genetic algorithm and particle swarm optimization in stable channel design
    Shaghaghi, Saba
    Bonakdari, Hossein
    Gholami, Azadeh
    Ebtehaj, Isa
    Zeinolabedini, Maryam
    APPLIED MATHEMATICS AND COMPUTATION, 2017, 313 : 271 - 286
  • [49] Multiple-scale uncertainty optimization design of hybrid composite structures based on neural network and genetic algorithm
    Peng, Xiang
    Qiu, Chan
    Li, Jiquan
    Wu, Huaping
    Liu, Zhenyu
    Jiang, Shaofei
    COMPOSITE STRUCTURES, 2021, 262
  • [50] A Novel Combination of Genetic Algorithm, Particle Swarm Optimization, and Teaching-Learning-Based Optimization for Distribution Network Reconfiguration in Case of Faults
    Linh, Nguyen Tung
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2024, 14 (01) : 12959 - 12965