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Journal of Zhejiang University-SCIENCE A

, Volume 9, Issue 3, pp 391–400 | Cite as

Multi-objective optimization of water supply network rehabilitation with non-dominated sorting Genetic Algorithm-II

  • Xi JinEmail author
  • Jie Zhang
  • Jin-liang Gao
  • Wen-yan Wu
Article

Abstract

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.

Key words

Water supply system Water supply network Optimal rehabilitation Multi-objective Non-dominated sorting Genetic Algorithm (NSGA) 

CLC number

TU991.33 

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Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  1. 1.School of Municipal and Environment EngineeringHarbin Institute of TechnologyHarbinChina
  2. 2.Faculty of Computing, Engineering and TechnologyStaffordshire UniversityStaffordUK

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