The Modified Artificial Fish Swarm Algorithm for Least-Cost Planning of a Regional Water Supply Network Problem
| Autor: | Feng Mao, Zhengpeng Tao, Jie Yang, Yi Liu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Optimization problem
Computer science Reliability (computer networking) 0208 environmental biotechnology Geography Planning and Development lcsh:TJ807-830 lcsh:Renewable energy sources least-cost planning 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences hydraulic calculation Least cost lcsh:Environmental sciences 0105 earth and related environmental sciences artificial fish swarm algorithm lcsh:GE1-350 Renewable Energy Sustainability and the Environment lcsh:Environmental effects of industries and plants Stochastic game Process (computing) Swarm behaviour dynamic network optimization 020801 environmental engineering lcsh:TD194-195 regional water supply systems Key (cryptography) Water supply network Algorithm |
| Zdroj: | Sustainability, Vol 11, Iss 15, p 4121 (2019) Sustainability Volume 11 Issue 15 |
| ISSN: | 2071-1050 |
| Popis: | A regional water supply network (RWSN) plays a key role in the process of urbanization development. This paper researches the planning optimization model of a regional water supply network with the payoff characteristic between economical cost and reliability, in which the hydraulic-connectivity is selected as the surrogate measure of the reliability in the regional water supply network. The modified artificial fish swarm algorithm (MAFSA) is proposed to solve the optimization problem by adjusting research visual and the inertia weights of artificial fish swarm algorithm (AFSA) according to the hydraulic-connectivity. The experiment results of regional water supply network show that MAFSA can effectively obtain the optimal solution with the maximum reliability and least cost compared to other algorithms, which can thereby achieve the optimization of RWSN engineering applications. |
| Databáze: | OpenAIRE |
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