Multi-objective optimization of water supply network rehabilitation with non-dominated sorting genetic algorithm. II
type: Item
instance of: scholarly article
title: Multi-objective optimization of water supply network rehabilitation with non-dominated sorting genetic algorithm. II
zbMATH Open document ID: 1135.90449
author: Xi Jin
author: Jie Zhang
author: Jin-Liang Gao
author: Wen-Yan Wu
published in: Journal of Zhejiang University. Science A
publication date: 2008-05-26T00:00:00Z
Mathematics Subject Classification ID: 90C90
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 5278843
zbMATH Keywords: water supply system
zbMATH Keywords: water supply network
zbMATH Keywords: optimal rehabilitation
zbMATH Keywords: multi-objective
zbMATH Keywords: non-dominated sorting genetic algorithm (NSGA)
describes a project that uses: EPANET
MaRDI profile type: Publication
cites work: Multi-objective optimization using evolutionary algorithms
cites work: Nonlinear goal programming using multi-objective genetic algorithms
cites work: Quantitative parametric connections between methods for generating noninferior solutions in multiobjective optimization
cites work: On solving multiobjective bin packing problems using evolutionary particle swarm optimization
full work available at URL: jzus.a071448
OpenAlex ID: W1976039804
DOI: 10.1631/JZUS.A071448
description: scientific article; zbMATH DE number 5278843