Scheduling of Water Distribution System Rehabilitation Using Structured Messy Genetic Algorithms

被引：23

作者：

Halhal, Driss ^{[1
]}

Walters, Godfrey A. ^{[2
]}

Savic, Dragan A. ^{[2
]}

Ouazar, Driss ^{[3
]}

机构：

[1] Water & Elect Distribut Co RAID, Tangier, Morocco

[2] Univ Exeter, Sch Engn & Comp Sci, Exeter EX4 4QF, Devon, England

[3] Mohammadia Sch Engineers EMI, Hydraul Syst Anal Lab, Rabat, Morocco

来源：

EVOLUTIONARY COMPUTATION | 1999年 / 7卷 / 03期

关键词：

Water distribution; genetic algorithms; scheduling; multi-objective; optimization; rehabilitation; networks;

D O I：

10.1162/evco.1999.7.3.311

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A methodology is presented for the optimal design and scheduling of investment for the rehabilitation of water distribution networks. Based on the evolutionary programming technique known as Structured Messy Genetic Algorithms, the methodology utilizes a multi-objective formulation which improves the evolutionary process and provides non-dominated optimal solutions over a range of costs and benefits. The model is applied to an example-a small artificial network of fifteen pipes. The effects on the optimal solutions of varying parameters such as interest rate and inflation rate are also investigated.

引用

页码：311 / 329

页数：19

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