A nonlinear custom penalty without slack variables plus CVaR sampling improves optimality gaps and consistency on knapsack instances for quantum constrained optimization.
Beasly, Or-library,https://people.brunel.ac.uk/ ~mastjjb/jeb/orlib/mknapinfo.html(2018)
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CVaR-Assisted Custom Penalty Function for Constrained Optimization
A nonlinear custom penalty without slack variables plus CVaR sampling improves optimality gaps and consistency on knapsack instances for quantum constrained optimization.