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Applied mathematics / Mathematical optimization / Statistical randomness / Mathematical modeling / Estimation theory / Stochastic optimization / Stochastic programming / Stochastic / AIMMS / Operations research / Statistics / Mathematics


Stochastic MiniZinc? Andrea Rendl1 , Guido Tack1 , and Peter J. Stuckey2 1 2
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Document Date: 2014-05-29 20:14:05

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City

the scenario / Philadelphia / Cambridge / New York / /

Company

Z INC / M INI Z INC. / Pearson / MIT Press / Deterministic Equivalent A Stochastic M INI Z INC / IOS Press / Elsevier Science Inc. / Stochastic M INI Z INC / Microsoft / /

Country

United States / Ireland / /

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Facility

University of Melbourne / Monash University / /

IndustryTerm

policy-based search / search combinators / travel costs / travel times / realistic solutions / car factory example / technology agnostic approach / expected travel times / car factory / /

Organization

University of Melbourne / Victoria / Faculty of IT / MIT / Australian Government / ICT Centre of Excellence Program / Australian Research Council / Monash University / Department of Communications / /

Person

Van Hentenryck / /

Position

valid / deterministic MiniZinc model for that scenario / stochastic model for each scenario and stage / /

Product

C1 / MiniZinc / C2 / /

ProgrammingLanguage

AIMMS / Python / AMPL / /

ProvinceOrState

New York / /

PublishedMedium

Lecture Notes in Computer Science / /

URL

http /

SocialTag