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Thangavelu, S. and Velayutham, C. (2010) Taguchi Method Based Parametric Study of Generalized Generation Gap Genetic Algorithm Model. In: Panigrahi, B., Das, S., Suganthan, P. and Dash, S., Eds., Swarm, Evolutionary, and Memetic Computing, Springer, Berlin/Heidelberg, 344-350.
http://dx.doi.org/10.1007/978-3-642-17563-3_42

has been cited by the following article:

• TITLE: A Modified Pareto Dominance Based Real-Coded Genetic Algorithm for Groundwater Management Model

  AUTHORS: Fu Li

  KEYWORDS: Groundwater, Groundwater Management Model, Simulation-Optimization, Pareto Dominance, Genetic Algorithm

  JOURNAL NAME: Journal of Water Resource and Protection, Vol.6 No.12, September 4, 2014

  ABSTRACT: This study proposes a groundwater management model in which the solution is performed through a combined simulation-optimization model. In the proposed model, a modular three-dimensional finite difference groundwater flow model, MODFLOW is used as simulation model. This model is then integrated with an optimization model, in which a modified Pareto dominance based Real-Coded Genetic Algorithm (mPRCGA) is adopted. The performance of the proposed mPRCGA based management model is tested on a hypothetical numerical example. The results indicate that the proposed mPRCGA based management model is an effective way to obtain good optimum management strategy and may be used to solve other type of groundwater simulation-optimization problems.