To bridge this gap, we propose SurCo that learns linear Surrogate costs which can be used in existing Combinatorial solvers to output good solutions to the original nonlinear combinatorial …

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onlinear loss by differentiating through the linear surrogate solver. Three variants of SurCo are proposed: SurCo-zero operates on individual nonlinear problems, SurCo-prior trains a linear …

Handle industrial applications with differentiable optimization High-quality solutions to combinatorial nonlinear optimization by finding linear surrogates Sometimes we can find …

We presented three variants of SurCo, SurCo-zero which optimizes individual instances, SurCo-prior which trains a coefficient prediction model offline, and SurCo-hybrid which fine-tunes …

Since both P+O and SurCo can be formulated as a nesting of a target mapping with the argmin operator (i.e., optimization solver), one can leverage approaches from this literature.

This new Certified NEC Professional Course from BK SURCO offers the first assured training programme which is designed Hong Kong to satisfy the knowledge requirements for staff …