Infill sampling criteria for surrogate-based optimization with constraint handling
By James M. Parr, Andy J. Keane, Alexander I. J. Forrester, Carren M. E. Holden. 2012
185 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/22f3aea3eac664aa9244d39ce2e35c193bb9524d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
In Management Science and Operations Research
In Statistics and Probability
Citations in the corpus
- A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems (2020, background): “2) Stochastic Ranking Using Two Selection Criteria: It has been shown that the performance of handling constraints in SAEAs can be improved by converting constrained MOPs into unconstrained MOPs [71], [72], namely, constraints in (1) can be seen as additional objectives [44] as follows:”