IOSO NS offers a fast and efficient solution for optimizing an object's parameters and mathematical model to increase its efficiency index. It helps achieve optimum coordination of factors leading to effective problem-solving.
The IOSO NS 1.3 is an optimal software tool for nonlinear constrained optimization. If you're looking to improve an object by coordinating various independent parameters with an executable mathematical model, this program is efficient and effective. With IOSO NS, you can solve non-linear parametric optimization problems quickly and effectively, up to 5 independent variables and 5 functional inequality constraints.
The IOSO NS family of versions utilizes a set of heuristic self-organizing optimization algorithms. These algorithms use owner-developed approximation technology, which builds response surfaces for objective and constrained parameters, optimizing these surfaces at every iteration. Thus, the time expenditures for solving problems are minimal, reducing the number of direct calls to mathematical models. By utilizing approximation technology, IOSO NS can successfully solve problems with complex topology of objectives and constraints. Unlike gradient methods, it can handle discontinuous, non-differentiatable, noised, and locally incomputable objectives and constraints.
This software tool offers a user-friendly interface, and you don't need to be an expert in numerical optimization to use it. The number of algorithm settings available to be changed by the user in IOSO NS is minimal, with all algorithm parameters adaptively changing during the search for optimum. Thus, the only requirement is to make a correct statement of optimization problems and prepare mathematical model input and output.
IOSO NS has an extended help system and samples of optimization projects with their FORTRAN source codes, making it easier for beginners to get started. If you need the optimization tool for larger dimensionalities, you can purchase extended features for IOSO NS 1.3, which can handle up to 20 variables and constraints. In conclusion, IOSO NS 1.3 is an excellent software tool for nonlinear constrained optimization, making the process quick and efficient.
The IOSO NS family of versions utilizes a set of heuristic self-organizing optimization algorithms. These algorithms use owner-developed approximation technology, which builds response surfaces for objective and constrained parameters, optimizing these surfaces at every iteration. Thus, the time expenditures for solving problems are minimal, reducing the number of direct calls to mathematical models. By utilizing approximation technology, IOSO NS can successfully solve problems with complex topology of objectives and constraints. Unlike gradient methods, it can handle discontinuous, non-differentiatable, noised, and locally incomputable objectives and constraints.
This software tool offers a user-friendly interface, and you don't need to be an expert in numerical optimization to use it. The number of algorithm settings available to be changed by the user in IOSO NS is minimal, with all algorithm parameters adaptively changing during the search for optimum. Thus, the only requirement is to make a correct statement of optimization problems and prepare mathematical model input and output.
IOSO NS has an extended help system and samples of optimization projects with their FORTRAN source codes, making it easier for beginners to get started. If you need the optimization tool for larger dimensionalities, you can purchase extended features for IOSO NS 1.3, which can handle up to 20 variables and constraints. In conclusion, IOSO NS 1.3 is an excellent software tool for nonlinear constrained optimization, making the process quick and efficient.
What's New
Version 1.3: N/A