A new flexible platformfor multi objective and multi disciplinary optimization
KIMEME was developed with an aim to satisfy your optimization needs with our knowledges and tools. KIMEME, a new advanced yet user-friendly platform for process integration and multi-objective multi-disciplinary optimization. The developers' decade-long experience in computational optimization is offered to you through an open library of state-of-the-art general-purpose optimization algorithms. The experience of the scientific team is also available to help you in defining and solving your engineering problems.
In order to exploit all the computational power of your LAN, KIMEME includes a distributed evaluation and simulation control system that can fully exploit your computational resources, and even your HPC cluster.
Without ad hoc user intervention, KIMEME can remotely execute each simulation of the graphical workflow to specific remote computers, managing the exchange of information and files among processes. Automatically.
Describe arbitrarily complex project workflows by means of simple and intuitive graphic data flow. Each node represents a source, a process or a sink, and all data are exchanged automatically among the different process. Moreover each simulation is automatically handled by KIMEME. Dependency, execution order and simulation files are automatically exchanged among processes, in order to avoid manual errors when several runs are executed.
Computer Aided Engineering (CAE) is nowadays an important tool in several engineering fields. In most cases, the design process consists of choosing the most suitable set of parameters that can meet some desired design goals or specifications. Optimization is defined as the process of choosing the best among several possible designs, in order to accomplish a defined goal. However, minimizing a specific cost function or maximizing a performance metric poses hard challenges, such as the number of variables involved in the process, the number of objectives -often conflicting- and the presence of non-linear constraints.
DOE, or experimental design, is the name given to the techniques used for guiding the choice of the experiments to be performed in an efficient way. With KIMEME you can save time defining very easily statistically efficient sets of experiments that cover the design parameter space in different ways. These experiments can be tested on your process workflow with ease, providing deep information about the behaviour and the characteristics of the project at hand.
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