DOE
Multi-Objective Genetic Algorithm (MOGA-II)
Simplex
Bounded Quasi-Newton single-objective Algorithm (B-BFGS)
Simulated Annealin (SA) |
(1+1)-Evolution Strategy
Derandomized Evolution Strategy (DES)
Multi-Membered Evolution Strategy (MMES) |
Multi-Objective Simulated Annealing (MOSA)
Multi Variate Adaptive Kriging (MACK)
NSGA-II
Multi Objective Game Theory (MOGT)
Multi-Objective Genetic Algorithm designed for fast convergence (FMOGA-II)
Simplex designed for fast convergence (FSIMPLEX) |
NLQLP Algorithm form prof. Shittkowski (NLPQLP)
Normal-Boundary Intersection Sequential Programming (NBI-NLPQLP) |
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Copying nature
In modeFRONTIER® there are many algorithms which mimic the way nature finds an optimal fit, including:
- Genetic Algorithms
- Evolution Strategies
- Neural Networks
- Simulating Annealing
- Game Theory…
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Multi-objective optimization for refrigerator design
The challenge was to find the ideal combination of insulator thickness and properties, and the size, shape and location of the evaporator. MOGA was used to steer the commercial CFD solver, by way of a parametric model, to the optimal solution.
Courtesy of Electrolux |
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