Recursive linear models optimized by bioinspired metaheuristics to streamflow time series prediction
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Publication:6079861
DOI10.1111/itor.12908OpenAlexW3109212207MaRDI QIDQ6079861
Unnamed Author, Levy Boccato, Unnamed Author, Ivette Luna, Romis Attux, Christiano Lyra
Publication date: 29 September 2023
Published in: International Transactions in Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/itor.12908
IIR filtersbioinspired optimization metaheuristicsBox and Jenkins modelsseasonal streamflow series forecasting
Cites Work
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- Differential evolution. A practical approach to global optimization. With CD-ROM.
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- Introduction to Time Series and Forecasting
- Interactive evolutionary approaches to multiobjective feature selection
- A machine‐learning based ConvLSTM architecture for NDVI forecasting
- Multicriteria ABC inventory classification using acceptability analysis
- A multistart biased random key genetic algorithm for the flexible job shop scheduling problem with transportation
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