Impact of New Water Sources on the Overall Water Network: An Optimisation Approach

Abstract

A mathematical programming problem is formulated for a water network with new water sources included. Salinity and water hardness are considered in the model, which is later solved using the Max-Min Ant System (MMAS) to assess the impact of new water sources on the total cost of the existing network. It is efficient to include new water sources if the distances to them are short or if there is a high penalty associated with failure to meet demand. Desalination unit costs also significantly affect the decision whether to install new water sources into the existing network while softening costs are generally negligible in making such decisions. Experimental results show that, in the example considered, it is efficient to reduce number of desalination plants to remain with one central plant. The Max-Min Ant System algorithm seems to be an effective method as shown by least computational time as compared to the commercial solver Cplex.

Formulation of a nonlinear water distribution problem with water rationing: an optimisation approach

“…where Ds l ij ðtÞ is the pheromone addition laid by the lth ant on the edge (i, j) at the end of iteration, t, and m is the number of ants. Successful application of MMAS algorithm to water distribution system has been witnessed (Chagwiza et al 2014;Zecchin et al 2003;Afshar 2009b).…”

Parameter Improvement of the Soccer League Competition Algorithm by Introducing Stubborn Players: Application to Water Distribution Network

“…Metaheuristic algorithms have been in recent years used to solve water distribution systems such as Max-Min Ant System [10], soccer league competition (SLC) [11], harmony search optimization approach [12], and shuffled frog leaping algorithm [13]. This research is motivated by the success of the soccer league competition algorithm of Moosavian [11] to solve water distribution network problems.…”