Optimization Techniques
OptiNet offers an integrated Automated Optimal Design environment compatible with the Industrial Design Process.
OptiNet can be used with to optimized any MagNet, ElecNet, ThermNet or coupled MagNet-ThermNet simulation.
| Optimization Approach |
Design Variables |
Constraints |
- User selects the design variables to be optimized
- Evolutionary-based Stochastic search approach is fast for a large number of variables and reduces risk of being caught at a local minimum
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- All single-valued, numerical parameters of a model drawn in MagNet, ElecNet or ThermNet are taken as design variables
- Sensitivity analysis determines the influence of design variables on performance
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- Constraints are weighted, indicating their importance to overall solution
- Both Model-based and Solution-based constraints
- Constraints templates are included
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| Objectives |
Optimization Progress |
Report and Results |
- Multiple objectives for a problem are supported, each is assigned a weight to indicate their importance.
- Objective functions template are included
- Overall performance improvement is evaluated as a sum of all weighted objectives and constraints
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- During optimization: goal, design variables, objectives and constraints evolution is displayed
- Stop feature ends optimization but keeps report with all solutions
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- For each solution: goal, variables, constraints & objectives values and time to solve are given
- Create an animation of the metamorphosis from initial to optimized device
- Model viewing using the variable values of a selected solution
- View all solutions computed or only solutions with improved results
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Our Support Commitment
- Online documentation and support center with free add-ons, sample scripts, tutorials and more
- Frequent updates to OptiNet during the year to ensure we remain the leader in electromagnetic field simulations
- Experienced support staff, available by phone and email, will help you get the most out of OptiNet
