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

DOI10.1631/jzus.A071448zbMath1135.90449OpenAlexW1976039804MaRDI QIDQ926162

Jin-Liang Gao, Jie Zhang, Wen-Yan Wu, Xi Jin

Publication date: 26 May 2008

Published in: Journal of Zhejiang University. Science A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1631/jzus.a071448

zbMATH Keywords

multi-objectivewater supply systemnon-dominated sorting genetic algorithm (NSGA)optimal rehabilitationwater supply network

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

Injecting problem-dependent knowledge to improve evolutionary optimization search ability

Uses Software

• EPANET

Cites Work

• Unnamed Item
• Quantitative parametric connections between methods for generating noninferior solutions in multiobjective optimization
• On solving multiobjective bin packing problems using evolutionary particle swarm optimization
• Nonlinear goal programming using multi-objective genetic algorithms

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