G. Barkle
Environmental Engineering · 2008
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 8 citations into it; #2,157 of 5,479 by trust here, #4,337 by citations
- Water Science and Technology — 7 citations into it; #500 of 1,711 by trust here, #1,322 by citations
- Civil and Structural Engineering — 6 citations into it; #2,540 of 6,160 by trust here, #5,005 by citations
Whom G. Barkle trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts G. Barkle overall
Papers from G. Barkle's perspective
Ordered by how strongly the researchers G. Barkle trusts endorse each paper. Same corpus, a different order for every researcher.
- Effective and efficient global optimization for conceptual rainfall‐runoff models
- Multi-objective optimization using evolutionary algorithms
- Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods
- Optimal use of the SCE-UA global optimization method for calibrating watershed models
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives
- Improved evolutionary optimization from genetically adaptive multimethod search (Proceedings of the National Academy of Sciences of the United States of America)
- Effect of the shape of the soil hydraulic functions near saturation on variably-saturated flow predictions
- Estimating Uncertain Flow and Transport Parameters Using a Sequential Uncertainty Fitting Procedure
- Multiobjective Optimization (The AI Magazine)