Design of water distribution networks using particle swarm optimization

Article Properties
Cite
Suribabu, C. R., and T. R. Neelakantan. “Design of Water Distribution Networks Using Particle Swarm Optimization”. Urban Water Journal, vol. 3, no. 2, 2006, pp. 111-20, https://doi.org/10.1080/15730620600855928.
Suribabu, C. R., & Neelakantan, T. R. (2006). Design of water distribution networks using particle swarm optimization. Urban Water Journal, 3(2), 111-120. https://doi.org/10.1080/15730620600855928
Suribabu CR, Neelakantan TR. Design of water distribution networks using particle swarm optimization. Urban Water Journal. 2006;3(2):111-20.
Journal Categories
Science
Biology (General)
Ecology
Technology
Environmental technology
Sanitary engineering
Technology
Hydraulic engineering
River, lake, and water-supply engineering (General)
Refrences
Title Journal Journal Categories Citations Publication Date
Title 2004
EPANET, User's Manual 2000
10.1061/(ASCE)0733-9372(1997)123:4(381)
10.1029/93WR00289
10.1061/(ASCE)0733-9496(1994)120:4(423)
Citations
Title Journal Journal Categories Citations Publication Date
A regret-based robust optimization model for municipal water distribution network redesign under disruption risks Computers & Chemical Engineering
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Chemical technology: Chemical engineering
  • Technology: Chemical technology: Chemical engineering
  • Science: Chemistry
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 1 2024
Leveraging Deep Reinforcement Learning for Water Distribution Systems with Large Action Spaces and Uncertainties: DRL-EPANET for Pressure Control Journal of Water Resources Planning and Management
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)
  • Technology: Environmental technology. Sanitary engineering
  • Science: Biology (General): Ecology
  • Technology: Engineering (General). Civil engineering (General)
 2024
Circulatory system-based optimization algorithm with dynamic penalty function for optimum design of large-scale water distribution networks Engineering Optimization
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Manufactures: Production management. Operations management
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
 2024
Optimization of Water Distribution Systems Using Genetic Algorithms: A Review

 Archives of Computational Methods in Engineering
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Mathematics
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
 5 2023
Simulation-Optimization of Water Distribution Networks Using ANFIS-Evolutionary Techniques KSCE Journal of Civil Engineering
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
 2023
Citations Analysis
Category Category Repetition
Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)52
Technology: Engineering (General). Civil engineering (General)49
Technology: Environmental technology. Sanitary engineering47
Science: Biology (General): Ecology45
Geography. Anthropology. Recreation: Environmental sciences25
Science: Mathematics: Instruments and machines: Electronic computers. Computer science14
Technology: Engineering (General). Civil engineering (General): Environmental engineering6
Technology: Mechanical engineering and machinery5
Science: Geology5
Technology: Environmental technology. Sanitary engineering: Water supply for domestic and industrial purposes5
Science: Mathematics4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics4
Technology: Building construction: Architectural engineering. Structural engineering of buildings3
Science: Chemistry3
Agriculture2
Agriculture: Agriculture (General)2
Agriculture: Plant culture2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware2
Technology: Manufactures: Production management. Operations management2
Technology: Mechanical engineering and machinery: Renewable energy sources2
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade2
Technology: Chemical technology: Chemical engineering2
Technology: Electrical engineering. Electronics. Nuclear engineering1
Science: Science (General): Cybernetics: Information theory1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication1
Technology: Technology (General): Industrial engineering. Management engineering: Information technology1
Science: Mathematics: Probabilities. Mathematical statistics1
Technology: Technology (General): Industrial engineering. Management engineering1
Social Sciences: Commerce: Business: Personnel management. Employment management1
Science: Physics1
Science1
Technology1
Technology: Engineering (General). Civil engineering (General): Transportation engineering1
Technology: Manufactures1
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials1
Technology: Ocean engineering1
Technology: Hydraulic engineering1
The category Technology: Hydraulic engineering: River, lake, and water-supply engineering (General) 52 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled SWARM INTELLIGENCE TECHNIQUES AND ITS APPLICATIONS IN WATER RESOURCES MANAGEMENT and was published in 2009. The most recent citation comes from a 2024 study titled A regret-based robust optimization model for municipal water distribution network redesign under disruption risks. This article reached its peak citation in 2022, with 14 citations. It has been cited in 56 different journals, 14% of which are open access. Among related journals, the Water Resources Management cited this research the most, with 9 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year