ESTECO expertise in numerical solutions equips designers with a complete array of optimization algorithms covering deterministic, stochastic and heuristic methods for both single and multi-objective problems.
The implementation of advanced algorithms in modeFRONTIER offers a reliable tool for making the simulation process more effective.
By exploiting the flexibility of modeFRONTIER in the appropriate optimization strategy, engineers can successfully address:
- strong non-linearity
- high or low constrained problems
- sizable problem dimensions.
Fine-tuned Multi-Strategy Optimization Algorithms
Besides the traditional methods, modeFRONTIER provides fine-tuned multi-strategy optimization algorithms able to multiply the capabilities of single approaches. Engineers are able to combine powerful optimization methods to further reduce time and effort of the design cycles.
FAST | accelerates the process by exploiting RSM performance over the region of most interest in the Design Space, reaching a high-speed detection of the optimal solutions.
HYBRID | automatically combines the robustness of Genetic Algorithms with the accuracy of Gradient methods providing an unprecedented balance between exploration and refinement capabilities.
SAnGeA | provides an automatic screening phase, coupled with a Genetic Algorithms global search phase, reliably identifying the most meaningful variables to face high-dimension and unconstrained problems.
pilOPT | Combines global and local search and efficiently calibrates the portion of RSM-based evaluations to achieve optimal and robust solutions. Its architecture delivers remarkable results even for problems with elaborate output functions, when RSM modelling requires considerable effort.