Noesis
OPTIMUS
PLM Optimization
LMS Virtual.Lab



Searching the Complete Design Space
Searching the Complete Design Space

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  Noesis
OPTIMUS Global Optimization

The OPTIMUS Global Optimization Module provides four different state-of-the-art algorithms – Differential Evolution (DE), Self-adaptive Evolution (SE), Simulated Annealing (SA) and Efficient Global Optimization (EGO) - for solving general constrained optimization problems.

Whereas local optimization algorithms are apt to find a local optimum, global optimization algorithms have a high probability of finding a global optimum, because they look around in the design space at many locations simultaneously.



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  • Broadest search for optimal design
  • Random initial sampling of design space
  • Identification of global optimum
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