JMAG provides a variety of features to powerfully support optimized design.
Large numbers of design proposals can be evaluated efficiently using JMAG’s parametric analysis and optimization functions.
In addition, results analysis and sensitivity analysis functions offer points where design can be improved.
– Easy optimizations and factor analysis using analysis / optimization integration
– Single-objective optimizations and multi-objective optimizations can be performed
– Use Pareto curve and correlation matrix for evaluations
– Optimization engine comes with response surface method and genetic algorithms
– Third-party optimization engines can be used
– Effective case generation function
– Sensitivity analysis with the response graph
– Simultaneous automation of the workflow with the script function
– Re-use analysis conditions with the analysis template