Evolutionary algorithms for the optimization of advective control of contaminated aquifer zones

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Well placement optimization with the covariance matrix adaptation evolution strategy and meta-models (2011, methodology): “CMA-ES has also been applied to real-world problems [7,16,39,40].”
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions (2014, background): “However, formally distinguishing the statistical behaviour of EAs on a given topology is an uncertain process itself that requires rigorous statistical experiments (see Section 2.3 and Back et al., 1997; Bayer and Finkel, 2004; Goh and Tan, 2009; Goldberg, 2002; Hadka and Reed, 2012; Matott et al., ”
Bayesian inverse problem and optimization with iterative spatial resampling (2010, methodology): “In this sense optimization with ISR is similar to evolutionary strategies where probabilistically generated individuals are sequentially improved while only the best one is preserved [Bayer and Finkel, 2004].”