GENO is a numerical optimiser with exceptionally wide application. It may be used to solve uni- or multi-objective optimisation problems: the problem may be static or dynamic, linear or nonlinear, unconstrained or constrained (by equations or inequalities); in addition, any combination of the variables may assume real or discrete values.

GENO has been tested on many optimization problems from well-known test suites that cover a wide range of problem-types. GENO consistently out-performs many algorithms of its genre; and in terms of solution quality. Some practical examples solved include:

• Pressure Vessel Design
• Oligopolist Market Equilibrium
• Efficient Portfolio Selection
• Decentralised Economic Planning

GENO may be specialized for various classes of problems such as the general static optimization problem, the general dynamic optimization problem, the mixed integer problem, and the two-point boundary value problem, by mere choice of a few parameters. These properties are easily preset at the problem set-up stage of the solution process. GENO includes a quantization mechanism that significantly enhances the rate of convergence as well as the quality of the final solution. So if your model involves:

• Static Optimization
• Dynamic Optimization
• Robust Optimization
• Mixed Integer Optimization
• Multi-objective Optimization
• And more . . .

Platforms:

Windows, UNIX, LINUX (requires GAUSS 6.0 or higher)

The following product is developed by Ike's Research Ltd. for use with GAUSS. Technical support is provided directly through the developer.

GENO 1.0 Flyer [138k .pdf]

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