ESTECO modeFRONTIER 2020 R3
ESTECO modeFRONTIER 2020 R3 modeFRONTIER is an environment for solving problems of criteria-based and multi-criteria optimization, working with various CAD, CAE, CFD and other software systems. The environment has the ability to work in automatic design and optimization of products. Implemented data processing and analysis using various methods Main technical characteristics: Design of an experiment (DOE), distribution of the input population of variables, estimation of forecast accuracy User DOE; Random; Sobol; Full factorial; Cubic-face-centered; Taguchi; Box-Benken; Montecarlo; Reduced Factorial; Latin Square; Latin Hypercube; D-Optimal; Cross validation method; Constraint satisfaction problem Decision making for multi-criteria optimization (MCDM): Hurwicz criterion; Linear algorithm; GA algoriphm; Minimax, savage mimimax regret criterion; Algorithms, optimization methods: DOE Sequence – direct enumeration of parameters; MOGA II –...