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Multi-objective optimization of water supply network rehabilitation with non-dominated sorting genetic algorithm-II

XI, Jin, Zang, J, Gao, J and WU, Wenyan (2008) Multi-objective optimization of water supply network rehabilitation with non-dominated sorting genetic algorithm-II. Journal of Zhejiang University Science A, 9 (3). pp. 391-400. ISSN 1673-565X

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Abstract or description

Through the transformation of hydraulic constraints into the objective functions associated with a water supply network rehabilitation problem, a non-dominated sorting Genetic Algorithm-Ⅱ (NSGA-Ⅱ) can be used to solve the altered multi-objective optimization model. The introduction of NSGA-Ⅱ into water supply network optimal rehabilitation problem solves the conflict between one fitness value of standard genetic algorithm (SGA) and multi-objectives of rehabilitation problem. And the uncertainties brought by using weight coefficients or punish functions in conventional methods are controlled. And also by introduction of artificial inducement mutation (AIM) operation, the convergence speed of population is accelerated; this operation not only improves the convergence speed, but also improves the rationality and feasibility of solutions.

Item Type: Article
Additional Information: SCI and EI index, top journal in Nature science, sponsored by Royal Society ( UK-China Scientific exchange scheme)
Uncontrolled Keywords: Water supply system,Water supply network,Optimal rehabilitation,Multi-objective,on-dominated sorting Genetic Algorithm NSGA
Subjects: G500 Information Systems
G700 Artificial Intelligence
G900 Others in Mathematical and Computing Sciences
Faculty: Previous Faculty of Arts and Creative Technologies > Art and Design
Depositing User: Wenyan WU
Date Deposited: 21 Nov 2013 13:30
Last Modified: 24 Feb 2023 03:47
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