Related Experiment Video
Updated: Oct 19, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Scheduling of water distribution system rehabilitation using structured messy genetic algorithms
D Halhal1, G A Walters, D A Savic
1Water and Electricity Distribution Company (RAID), 5 Rue Okuba Ibn Naffy, BP 286, Tangier, Morocco.
Abstract:
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 nondominated 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.
Related Concept Videos
Design Example: Design of an Irrigation Channel
Gradually Varying Flow
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Design Example: Alignment of a Road Line Using GIS
Manipulation and Analysis