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- Title
Groundwater Pollution Sources Identification Based on Hybrid Homotopy-Genetic Algorithm and Simulation Optimization.
- Authors
Li, Jiuhui; Lu, Wenxi; Fan, Yue
- Abstract
Genetic algorithm (GA) is often used to solve the optimization model of groundwater pollution source identification. However, GA is prone to premature convergence and fall into local optimum. Thus, homotopy algorithm and GA are used in combination to improve the disadvantage. Then hybrid homotopy-genetic algorithm (HGA) was applied to solve the optimization model. A 0–1 mixed integer nonlinear optimization model (0–1MINLP) based on kriging surrogate model was used to simultaneously identify hydraulic conductivity, location, and release history of pollution sources. The results showed that the 0–1MINLP based on a kriging surrogate model could simultaneously identify the hydraulic conductivity and information of pollution sources, while maintaining a certain level of precision and reducing calculation load. The combination of homotopy algorithm and GA can improve the shortcomings of GA that is easy to fall into premature convergence. The identification results obtained by the HGA were closer to the true values of the pollution source characteristics compared with GA.
- Subjects
GROUNDWATER pollution; HYDRAULIC conductivity; MATHEMATICAL optimization; ALGORITHMS; HISTORICAL source material
- Publication
Environmental Engineering Science, 2021, Vol 38, Issue 8, p777
- ISSN
1092-8758
- Publication type
Article
- DOI
10.1089/ees.2020.0117