d-QPSO: A Quantum-Behaved Particle Swarm Technique for Finding D-Optimal Designs With Discrete and Continuous Factors and a Binary Response
Author:
Affiliation:
1. Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA
2. Department of Statistics, University of Georgia, Athens, GA
3. Department of Biostatistics, University of California at Los Angeles, Los Angeles, CA
Publisher
Informa UK Limited
Subject
Applied Mathematics,Modelling and Simulation,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/00401706.2018.1439405
Reference44 articles.
1. Minimax optimal designs via particle swarm optimization methods
2. Optimizing Latin hypercube designs by particle swarm
3. The particle swarm - explosion, stability, and convergence in a multidimensional complex space
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