Derivative-Free Optimization
Bayesian optimization, evolutionary strategies, and trust-region DFO.
Derivative-Free Optimization. Bayesian optimization, evolutionary strategies, and trust-region DFO.
Foundations and canonical references
The standard treatments of derivative-free optimization approach the subject from complementary angles. Conn, Introduction to Derivative-Free Optimization (2009) is the anchor reference for the subject and lays out the core definitions, theorems, and worked examples that practitioners return to.
Open methodological questions for derivative-free optimization include sharpening the bridges between foundational theory and computational practice, extending classical results to broader or more structured settings, and integrating the techniques surveyed above with adjacent mathematical disciplines. The references listed in this page are the entry points that current work builds on.
Prerequisites
Sources
- textbook · primary · 2009Introduction to Derivative-Free Optimizationconn-2009, scheinberg-2009, vicente-2009
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