What is it about?

In this paper, a multi-objectives Particle swarm optimization (MOPSO) model with a new evolutionary strategy using a Pareto-compromise solution is originally developed to deal with groundwater management problems. The proposed model is first verified against benchmark test problems with either connected or disconnected Pareto fronts. Then, the verified model is applied to a well known hypothetical aquifer from literature to simultaneously maximize pumping rates and minimize pumping costs.

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Why is it important?

Our findings show that the ability of the originally developed model to drive the Pareto-optimal solution for the example application and consequently its ability to be applied to real life groundwater management problems.


Writing this article was a great pleasure as it has co-authors with whom I have had long standing collaborations. This article also lead to originally presented a methodology to modify the Particle Swarm Optimization (PSO) method to cope with multi-objective problems using a new evolutionary strategy based on tracking a single compromise solution.

Dr. Hamdy Ahmed El-Ghandour
Mansoura University

Read the Original

This page is a summary of: Optimal Groundwater Management Using Multiobjective Particle Swarm with a New Evolution Strategy, Journal of Hydrologic Engineering, June 2014, American Society of Civil Engineers (ASCE),
DOI: 10.1061/(asce)he.1943-5584.0000910.
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