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A Wasserstein distance based multiobjective evolutionary algorithm for the risk aware optimization of sensor placement

  • Published:2021-07 Issue: Volume:10-11 Page:200047
  • ISSN:2667-3053
  • Container-title:Intelligent Systems with Applications
  • language:en
  • Short-container-title:Intelligent Systems with Applications

Author:

Ponti Andrea,Candelieri Antonio,Archetti Francesco

Funder

Regione Lombardia

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference39 articles.

1. A multi-objective optimization algorithm for sensor placement in water distribution systems;Aral,2008

2. Linear-complexity data-parallel earth mover's distance approximations;Atasu,2019

3. BoTorch: A framework for efficient Monte-Carlo Bayesian optimization;Balandat;Advances in Neural Information Processing Systems,2020

4. SMS-EMOA: Multiobjective selection based on dominated hypervolume;Beume;European Journal of Operational Research,2007

5. pymoo: Multi-objective optimization in python;Blank;IEEE Access,2020

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