Bhupinder Singh Saini
Orcid: 0000-0003-2455-3008
  According to our database1,
  Bhupinder Singh Saini
  authored at least 12 papers
  between 2019 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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    on orcid.org
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Bibliography
  2025
Benefits of the IOPIS Paradigm on the Landscales of Multiobjective Optimization Problems.
    
  
    Dataset, February, 2025
    
  
    Proceedings of the Evolutionary Multi-Criterion Optimization, 2025
    
  
  2024
SCORE Band Visualizations: Supporting Decision Makers in Comparing High-Dimensional Outcome Vectors in Multiobjective Optimization.
    
  
    IEEE Access, 2024
    
  
A Modified Preference-Based Hypervolume Indicator for Interactive Evolutionary Multiobjective Optimization Methods.
    
  
    Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024
    
  
  2023
Interactive data-driven multiobjective optimization of metallurgical properties of microalloyed steels using the DESDEO framework.
    
  
    Eng. Appl. Artif. Intell., April, 2023
    
  
Using a Database to Support Interactive Multiobjective Optimization, Visualization, and Analysis.
    
  
    Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
    
  
Incorporating Preference Information Interactively in NSGA-III by the Adaptation of Reference Vectors.
    
  
    Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
    
  
  2022
Optimistic NAUTILUS navigator for multiobjective optimization with costly function evaluations.
    
  
    J. Glob. Optim., 2022
    
  
Interactivized: Visual Interaction for Better Decisions With Interactive Multiobjective Optimization.
    
  
    IEEE Access, 2022
    
  
  2021
DESDEO: The Modular and Open Source Framework for Interactive Multiobjective Optimization.
    
  
    IEEE Access, 2021
    
  
  2020
    Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
    
  
  2019
Automatic surrogate modelling technique selection based on features of optimization problems.
    
  
    Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019