IOSO NS GT optimizes parameters of an object by efficiently computing mathematical models to enhance its efficiency index. It allows quick resolution of optimization problems.
This software review is about IOSO NS GT, which is an excellent tool for solving non-linear parametric optimization problems. With this software, one can quickly and efficiently optimize complex objects with up to 5 independent variables and 5 functional inequality constraints.
The IOSO NS family of versions has a set of heuristic self-organizing optimization algorithms based on owner-developed approximation technology. These algorithms help to minimize the number of direct calls to a mathematical model and reduce time expenditures, making problem-solving easy and fast.
Unlike gradient methods, IOSO NS works well with discontinuous, non-differentiable, noised, and locally incomputable objectives and constraints, making it a reliable optimization software. IOSO NS has a user-friendly interface and minimal algorithm settings that adaptively change during the search for optimum.
With IOSO NS, the only thing required from the user is to make a correct statement of the optimization problem and prepare mathematical model input and output. Additionally, IOSO NS has an extended help system and optimization project samples with their source codes in FORTRAN for easy start.
Lastly, the extended features of IOSO NS GT allow optimization for larger dimensionalities of up to 100 independent variables and 100 inequality constraints. Overall, IOSO NS GT is an efficient and reliable optimization tool with a user-friendly interface suitable for anyone seeking to solve complex optimization problems.
The IOSO NS family of versions has a set of heuristic self-organizing optimization algorithms based on owner-developed approximation technology. These algorithms help to minimize the number of direct calls to a mathematical model and reduce time expenditures, making problem-solving easy and fast.
Unlike gradient methods, IOSO NS works well with discontinuous, non-differentiable, noised, and locally incomputable objectives and constraints, making it a reliable optimization software. IOSO NS has a user-friendly interface and minimal algorithm settings that adaptively change during the search for optimum.
With IOSO NS, the only thing required from the user is to make a correct statement of the optimization problem and prepare mathematical model input and output. Additionally, IOSO NS has an extended help system and optimization project samples with their source codes in FORTRAN for easy start.
Lastly, the extended features of IOSO NS GT allow optimization for larger dimensionalities of up to 100 independent variables and 100 inequality constraints. Overall, IOSO NS GT is an efficient and reliable optimization tool with a user-friendly interface suitable for anyone seeking to solve complex optimization problems.
What's New
Version 2.0: N/A