Stratified filtered sampling in stochastic optimization

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We develop a methodology for evaluating a decision strategy generated by a stochastic optimization model. The methodology is based on a pilot study in which we estimate the distribution of performance associated with the strategy, and define an appropriate stratified sampling plan. An algorithm we call filtered search allows us to implement this plan efficiently. We demonstrate the approach's advantages with a problem in asset / liability management for an insurance company.

Robert Rush, John M. Mulvey, John E. Mitchell, Tho

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Decision Strategy | JAMDS 2000 | Methodology | Stochastic Optimization Model |

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Added	18 Dec 2010
Updated	18 Dec 2010
Type	Journal
Year	2000
Where	JAMDS
Authors	Robert Rush, John M. Mulvey, John E. Mitchell, Thomas R. Willemain

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Stratified filtered sampling in stochastic optimization

Decision Strategy | JAMDS 2000 | Methodology | Stochastic Optimization Model |

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