Passive congregation theory for particle swarm optimization (PSO): An application in reservoir system operation
Particle swarm optimisation (PSO) is a very well-known method and has a strong background in optimisation filed to solve different non-linear, complex problems especially in creating the reservoir release policies. This research modified the particle updating process of the standard PSO algorithm by...
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my.uniten.dspace-241172023-05-29T14:55:41Z Passive congregation theory for particle swarm optimization (PSO): An application in reservoir system operation Hossain M.S. Mohd Sidek L.B. Marufuzzaman M. Zawawi M.H. 55579596900 35070506500 57205234835 39162217600 Particle swarm optimisation (PSO) is a very well-known method and has a strong background in optimisation filed to solve different non-linear, complex problems especially in creating the reservoir release policies. This research modified the particle updating process of the standard PSO algorithm by including the passive congregation (PC) theory. The passive congregation theory of natural being's social behaviour is adopted to updated the standard PSO algorithm and used to develop and optimise a reservoir release policy for monthly basis. The inflow data to the dam/reservoir has categorised into three different categories (High, medium and low). The problem is formulated on correspondence to the release and capacity constraints. Water deficit from the release is aimed to be minimised and formulated as the main objective function. Monthly releases are taken as the main objective variables and are essentially control the water deficit of the process. The standard form of PSO then compared with the updated version and the results is analysed by adopting different performance measuring indicators such as reliability, vulnerability and resilience. The results showed that the updated PSO-PC is more capable of the standard PSO (5% more reliable; 0.02 less vulnerable and 1.5 more resilience) in providing optimum results for a reservoir system. � 2018 Authors. Final 2023-05-29T06:55:41Z 2023-05-29T06:55:41Z 2018 Article 10.14419/ijet.v7i4.35.22767 2-s2.0-85059225262 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059225262&doi=10.14419%2fijet.v7i4.35.22767&partnerID=40&md5=29c46b23881c2de118d30a8e28a1a178 https://irepository.uniten.edu.my/handle/123456789/24117 7 4 383 387 All Open Access, Bronze, Green Science Publishing Corporation Inc Scopus |
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Particle swarm optimisation (PSO) is a very well-known method and has a strong background in optimisation filed to solve different non-linear, complex problems especially in creating the reservoir release policies. This research modified the particle updating process of the standard PSO algorithm by including the passive congregation (PC) theory. The passive congregation theory of natural being's social behaviour is adopted to updated the standard PSO algorithm and used to develop and optimise a reservoir release policy for monthly basis. The inflow data to the dam/reservoir has categorised into three different categories (High, medium and low). The problem is formulated on correspondence to the release and capacity constraints. Water deficit from the release is aimed to be minimised and formulated as the main objective function. Monthly releases are taken as the main objective variables and are essentially control the water deficit of the process. The standard form of PSO then compared with the updated version and the results is analysed by adopting different performance measuring indicators such as reliability, vulnerability and resilience. The results showed that the updated PSO-PC is more capable of the standard PSO (5% more reliable; 0.02 less vulnerable and 1.5 more resilience) in providing optimum results for a reservoir system. � 2018 Authors. |
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55579596900 |
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55579596900 Hossain M.S. Mohd Sidek L.B. Marufuzzaman M. Zawawi M.H. |
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Article |
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Hossain M.S. Mohd Sidek L.B. Marufuzzaman M. Zawawi M.H. |
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Hossain M.S. Mohd Sidek L.B. Marufuzzaman M. Zawawi M.H. Passive congregation theory for particle swarm optimization (PSO): An application in reservoir system operation |
| author_sort |
Hossain M.S. |
| title |
Passive congregation theory for particle swarm optimization (PSO): An application in reservoir system operation |
| title_short |
Passive congregation theory for particle swarm optimization (PSO): An application in reservoir system operation |
| title_full |
Passive congregation theory for particle swarm optimization (PSO): An application in reservoir system operation |
| title_fullStr |
Passive congregation theory for particle swarm optimization (PSO): An application in reservoir system operation |
| title_full_unstemmed |
Passive congregation theory for particle swarm optimization (PSO): An application in reservoir system operation |
| title_sort |
passive congregation theory for particle swarm optimization (pso): an application in reservoir system operation |
| publisher |
Science Publishing Corporation Inc |
| publishDate |
2023 |
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1806426024512061440 |
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13.211869 |