3 papers
cs.NE2026
A Confidence-Driven Evolutionary Algorithm for Noisy Optimization with Joint Chance Constraints
Enrico Halim, Hemant Singh, Tapabrata Ray
Many real-world optimization problems involve noisy objective evaluations and probabilistic constraints, particularly in the form of joint chance constraints, which are computation…
cs.NE2026
Confidence-based Ranking with Adaptive Sampling for Noisy Black-Box Optimisation
Enrico Halim, Hemant Kumar Singh, Tapabrata Ray
Real-world optimization problems often involve black-box functions and uncertainties in their evaluation, widely referred to as noisy optimization problems (NOPs). Evolutionary alg…
cs.NE2024
Pareto Set Prediction Assisted Bilevel Multi-objective Optimization
Bing Wang, Hemant K. Singh, Tapabrata Ray
Bilevel optimization problems comprise an upper level optimization task that contains a lower level optimization task as a constraint. While there is a significant and growing lite…