Toolkit for design and deployment of optimization based Decision Support Systems (DSS)
EZMod is a full range of development and integration toolkit for optimization based DSS. EZMod brings new perspectives of power, performance and functionality. EZMod 2.0 is designed for WINDOWS 95/98 and WINDOWS NT and is accessible from a variety of programming environments such as MICROSOFT VISUAL BASIC, DELPHI, C/C++ environments (MICROSOFT VISUAL C, BORLAND C/C++, ...). EZMod is available as DLL or Active X.
EZMod provides many facilities to the developers in order to design, implement and deploy optimization based DSS without requiring solver-specific knowledge or expertise. The interaction between EZMod and the solver is completely transparent for the developer. The modeling activity is then solver independent.
EZMod supports a wide range of commercial solvers and allows access to their optimization capacity. The solvers currently supported are:
EZMod users can model and solve linear programming problems (LP), integer programming problems (IP), mixed-integer programming problems (MIP), and quadratic programming problems (QP). Although commercial solvers are not designed to solve quadratic mixed-integer programming problems (QMIP), this is no constraint for EZMod users. With its most economic and popular linearization method, EZMod equips its user with an added feature to model and solve QMIP problems easily and efficiently.
The user is free to choose his/her preferred programming environment. EZMod is currently running with:
EZMod is available on personal computers (all IBM compatibles) based on 32-bit Windows environments.
Kettani, O. et M. Oral (1993), "Reformulating Quadratic Assignment Problems for Efficient Optimization," IIE Transactions, Vol.25, No.6, pp.97-107.
Oral, M. et O. Kettani (1992), "Reformulating Nonlinear Combinatorial Optimization Problems for Higher Computational Efficiency," European Journal of Operational research, Vol.58, No.2, pp. 236-249.
Oral, M. et O. Kettani (1992), "A Linearization Procedure for Quadratic and Cubic Mixed-integer Problems," Operations Research, Vol.40, Supp. No.1, pp.S109-S116.
Kettani, O. et M. Oral (1990), "Equivalent Formulations of Nonlinear Integer Problems for Efficient Optimization," Management Science, Vol.36, No.1, pp.115-119.
Visit EZMod on the WWW or contact:
MODELLIUM Inc. Quebec Metro High Tech Park Suite 100 750, Einstein Street Sainte-Foy (Quebec) G1P 4R1 CANADA Phone: 1 (418) 653 0853 Fax: 1 (418) 653 0252 E-mail: info@modellium.com
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