Essays about: "derivative-free black box optimization"
Found 2 essays containing the words derivative-free black box optimization.
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1. Black Box Optimization Framework for Reinsurance of Large Claims
University essay from Stockholms universitet/Statistiska institutionenAbstract : A framework for optimization of reinsurance strategy is proposed for an insurance company with several lines of business (LoB), maximizing the Economic Value of purchasing reinsurance. The economic value is defined as the sum of the average ceded loss, the deducted risk premium, and the reduction in the cost of capital. READ MORE
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2. A Theoretical Framework for Bayesian Optimization Convergence
University essay from KTH/Optimeringslära och systemteoriAbstract : Bayesian optimization is a well known class of derivative-free optimization algorithms mainly used for expensive black-box objective functions. Despite their efficiency, they suffer from a lack of rigorous convergence criterion which makes them more prone to be used as modeling tools rather than optimizing tools. READ MORE