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Let's take a simple example to introduce the CATIA Product
Engineering Optimizer capabilities. Follow the step-by-step instructions
described below to get a first appreciation of the CATIA Product
Engineering Optimizer principles.
For more information about the optimization data as well as the algorithms to be run, see Defining an Optimization and Specifying the Algorithm to be Run. The purpose of this task is to provide you with a brief outline of how the optimizer works when searching for a target value in both operating modes. No computed data are given because:
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Don't fill in any field in the Constraints tab. You need approximately 75 evaluations to reach a Volume.1 steady value. The target value is reached quicker than in simulated annealing. |
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For more information about the Gradient and the Simulated Annealing algorithms, see Defining and Optimization. |