PECO strengthens chance constraints by mandating feasibility for all high-probability events and is solved via a data-embedded deterministic program that works for nonlinear nonconvex instances when the size of the solution-determining data family can be estimated by machine learning.
Operations research58(3), 595–612 (2010)
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A Data-embedded Solution Paradigm for Nonconvex Probable Event Constrained Optimization
PECO strengthens chance constraints by mandating feasibility for all high-probability events and is solved via a data-embedded deterministic program that works for nonlinear nonconvex instances when the size of the solution-determining data family can be estimated by machine learning.