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A comparison of particle swarm optimization and genetic algorithm for daily rainfall-runoff modelling: a case study for southeast Queensland, Australia

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Publication:2245671
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DOI10.1007/S11081-020-09538-3zbMath1473.90184OpenAlexW3041909991MaRDI QIDQ2245671

Mahsa Jahandideh-Tehrani, Fernanda Helfer, Graham Jenkins

Publication date: 15 November 2021

Published in: Optimization and Engineering (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10072/398443


zbMATH Keywords

GAevolutionary computationANNPSOrainfall-runoff modellingreal-time streamflow


Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)





Cites Work

  • Unnamed Item
  • Optimal heat exchanger network synthesis using particle swarm optimization
  • Testing of a spreading mechanism to promote diversity in multi-objective particle swarm optimization




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