| MINOPT
| Extended Name
| A Modeling Language and Algorithmic Framework for Linear, Mixed-Integer, Nonlinear, Dynamic, and Mixed-Integer Nonlinear Optimization
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| Authors:
| C. A. Schweiger
Prof. C. A. Floudas
Department of Chemical Engineering
Princeton University
Princeton, NJ 08544-5263
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| Description
| MINOPT was developed in the CASL laboratory in the Department of Chemical Engineering at Princeton University. It's development has been motivated by the need for efficient methods for solving Mixed-Integer Nonlinear Programming problems as well as handling numerous options associated with these problems. Further development was motivated by the need to handle dynamic models and solve problems involving both differential and algebraic constraints. The result is an advanced modeling language and algorithmic framework.
MINOPT is a comprehensive, powerful, and flexible package for the solution of various types of optimization problems. It features both an advanced modeling language for the clear and concise representation of complex mathematical models as well as robust algorithmic framework for the efficient solution of wide variety of mathematical programming problems.
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| MINOPT features
| Clear and concise representation of complex mathematical models
Support for a broad variety of natural mathematical expressions
Modeling: Algebraic and Dynamic
Capability to add, change, or delete the sets, variables, data, and constraints easily
Capability to accept model information and data provided in separate input files
Checks of model syntax and consistency
Efficient solution for Mixed-Integer Nonlinear Programming problems
Efficient solution for problems with dynamic models
Efficient integration and sensitivity analysis
Connection to Chemkin for kinetic modeling
Ability to switch easily among various solvers
Ability to fine tune the solution algorithms with an extensive list of options
Portable models which can be used across various platforms
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| MINOPT model types
| Linear Programs (LP)
Mixed Integer Linear Programs (MILP)
NonLinear Programs (NLP)
NLPs with Dynamic Models (NLP/DAE)
Mixed Integer NonLinear Programs (MINLP)
Dynamic Simulations
MINLPs with Dynamic Models (MINLP/DAE)
Optimal Control Problems (OCP)
Mixed Integer Optimal Control Problems (MIOCP)
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| MINOPT MINLP Algorithms
| Generalized Benders Decomposition (GBD)
Outer Approximation and Variants (OA, OA/ER, OA/ER/AP)
Generalized Cross Decomposition (GCD)
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| MINOPT platforms
| Sun (SunOS 5.5.1)
HP (HP-UX 10.20)
IBM (AIX 3.2)
SGI (IRIX 5.3)
PC (Windows 95/NT) available soon
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| References
| Minopt reference manual
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