Optimization, Robustness, Design of Experiments

In the world of multi-domain system simulation, the realm of 1D is probably the place where design exploration techniques are the most effective. Whether used for design or validation, system models can provide global parameter access that directly influences design decisions. LMS Imagine.Lab AMESim integrates tools for design exploration, optimization and robustness analysis and can also be interfaced with Noesis OPTIMUS and other well-established third party optimization software for advanced studies or better process integration. Product Description Optimization LMS Imagine.Lab AMESim integrates techniques for local ( NLPQL) and global ( Genetic Algorithm) single or multi-objective optimization that cover the needs of everyday engineering studies. For user convenience, it can also be interfaced with almost all third-party optimization software. Lastly, thanks to the multi-objective state-of-the-art optimization methods adapted from Noesis OPTIMUS, you can enhance AMESim capabilities and find the best-possible set of design variables. Robustness To assess and optimize design responses taking into account the variability present in the design input parameters, LMS Imagine.Lab AMESim provides users with a built-in tool for Monte Carlo studies and with various possibilities of interfacing AMESim with third-party software to perform robustness analysis. Design of Experiments Design of Experiments ( DOE) allows quick exploration of the design space and parameter screening. It helps users to define an optimal set of experiments to obtain maximum information with the highest accuracy level at the lowest cost. DOE also allow users to perform sensitivity analysis. Associated with AMESim’ s Response Surface Methodology ( RSM) techniques, it provides users with critical insight in possible design alternatives. Features • Integrated Design Exploration environment to manage Optimization, RSM, Robustness or DOE studies • Local and global optimization algorithms for single or multi-objective problems with constraint handling • Monte Carlo Analysis feature • Surrogate modeling capability by RSM techniques • Connectivity to third party optimization software Benefits • Deep integration into a unique tool supplied with AMESim of state-of-the-art Design Exploration features saves time and provides design teams with better efficiency in their every-day work • The variety of the proposed DOE techniques allows users to find the best compromise between computational efficiency and precision for surrogate modeling or parameter sensitivity analysis • The connectivity to specialized third party optimizers provides flexibility, better process integration and enhances AMESim capabilities for specific needs Software engineering memiliki misi menyediakan quality engineering software untuk para engineer sehingga mereka dapat lebih produktif dalam pekerjaannya. Kami juga membuatkan aplikasi software engineering yang customized / khusus , dengan harga yang bersaing. Contact us: 0815 614 1954, 0811 891 101, 0817921 7081