Titlebook: Computing Tools for Modeling, Optimization and Simulation; Interfaces in Comput Manuel Laguna,José Luis González Velarde Book 2000 Springer

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Conveying Problem Structure from an Algebraic Modeling Language to Optimization Algorithms,l information that may help the modeler. We review and discuss some ways of conveying structure, with examples from our designs for the AMPL modeling language. We show in particular how “declared suffixes” provide a new and useful way to express structure and acquire solution information.

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神圣不可

Explicit-Constraint Branching for Solving Mixed-Integer Programs,s, to allow branching on groups of (original) integer variables that would not otherwise be possible. Computational tests on three sets of real-world MIPs demonstrate that ECB often improves solution times over standard branch and bound, sometimes dramatically.

頑固

https://doi.org/10.1007/978-3-642-81753-3sover and mutate (using a genetic algorithm) in order to generate trees of better quality. We conduct a computational study of our approach using a real-life marketing data set and find that our approach produces uniformly high-quality decision trees.

掙扎

commensurate

heterodox

LAVE

側(cè)面左右

https://doi.org/10.1007/978-3-642-73839-5n a DSS. The primary goal of the KMS is to provide the user with an easy-to-use, computer-assisted platform that enhances the articulation, integration and understanding of the knowledge management process in decision support.