As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

Optimisation of water distribution system design is a well-established research field, which
has been extremely productive since the end of the 1980s. Its primary focus is to minimise …

Shuffled Frog Lea** Algorithm (SFLA) is a meta-heuristic for solving discrete optimization
problems. Here it is applied to determine optimal discrete pipe sizes for new pipe networks …

This paper presents a multiobjective genetic algorithm approach to the design of a water
distribution network. The objectives considered are minimization of the network cost and …

This study presents a cost minimization model for the design of water distribution networks.
The model uses a recently developed harmony search optimization algorithm while …

The use of artificial neural network (ANN) models in water resources applications has grown
considerably over the last decade. However, an important step in the ANN modelling …

During the last decade, evolutionary methods such as genetic algorithms have been used
extensively for the optimal design and operation of water distribution systems. More recently …

Several alternative formulations of a genetic algorithm for reservoir systems are evaluated
using the four-reservoir, deterministic, finite-horizon problem. This has been done with a …

The Pipe network design problem is considered by choosing least-cost diameter pipes to
satisfy flow demands and minimum head restrictions. Harmony and innovation are brought …

Leak detection and calibration of pipe internal roughnesses in a water distribution network
are significant issues for water authorities around the world. Computer simulation of water …