SBIR Phase I: Unified and Intuitive Modeling Software for Non-Traditional Optimization

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 0945093
Agency Tracking Number: 0945093
Amount: $143,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2010
Solitcitation Year: 2010
Solitcitation Topic Code: IC
Solitcitation Number: NSF 09-541
Small Business Information
AMPL Optimization
900 Sierra Place SE, Albuquerque, NM, 87108
Duns: 827878294
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Robert Fourer
 DSc
 (847) 846-8486
 4er@ampl.com
Business Contact
 Robert Fourer
Title: DSc
Phone: (847) 846-8486
Email: 4er@ampl.com
Research Institution
N/A
Abstract
This Small Business Innovation Research (SBIR) Phase I project will address the challenges of supporting large-scale optimization models that are most naturally represented by nonnumerical and other nontraditional forms of objectives and constraints. Building on the project team's experience in designing, implementing, and marketing more traditional optimization modeling software, the project will address the feasibility of a unified approach that enables one natural and convenient modeling language to support a broad variety of nontraditional model forms and solver types. In addition to considering the design of language extensions, the research will address the creation of interfaces for diverse solvers, particularly as it relates to issues of automated problem detection and conversion. The expected outcome is a prototype optimization modeling language that will alleviate frustrations with current systems and encourage experimentation with a broader variety of solution methods. Optimization has increasingly become an established paradigm for modeling of phenomena throughout science, engineering, and business. The new product envisioned will address a significant customer need by advancing the ability of optimization modeling languages to describe and generate problems in the ways that are most natural to modelers.

* information listed above is at the time of submission.

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