SBIR Phase I: Integrated Software Tools for Handling Discrete Elements in Large-Scale Nonlinear Optimization

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 0637769
Agency Tracking Number: 0637769
Amount: $99,972.00
Phase: Phase I
Program: SBIR
Awards Year: 2007
Solicitation Year: 2006
Solicitation Topic Code: IT
Solicitation Number: NSF 06-553
Small Business Information
Ziena Optimization Inc.
2615 Hartzell Street, Unit No. 7, Evanston, IL, 60201
DUNS: 038873308
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Richard Waltz
 PhD
 (847) 894-8384
 richard.waltz@gmail.com
Business Contact
 Richard Waltz
Title: PhD
Phone: (847) 894-8384
Email: richard.waltz@gmail.com
Research Institution
N/A
Abstract
This Small Business Innovation Research Phase I project will address the challenges of large-scale nonlinear optimization in the presence of discrete elements. Building on previous success with an integrated approach to classical, smooth nonlinear optimization, the goal of this research will be to derive and implement large-scale general-purpose methods for nonlinear optimization over (i ) integer-valued decision variables via a branch-and-bound approach, and (ii ) complementarity constraints using a direct penalty approach. Anticipated applications will encompass engineering problems such as process synthesis, network planning, optimal power flow, and integrated circuit design, as well as decision problems in such areas as power capacity planning and strategic bidding. The commercial potential of the research will be demonstrated by tests on real applications contributed by users of the proposing company's current nonlinear optimization software.

* information listed above is at the time of submission.

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