DOES Software Features

·    Global and multiple-objective optimization tasks are defined in intuitive application performance terms not by abstract mathematical expressions.

·     An OBJECTIVE can be a scalar (cell), vector or array.

·     It automatically generates aggregate objective functions.

·     Its solutions are starting point independent.

·     Its solutions are repeatable.

·     It combines robust full factorial design of experiments (DoE) with OPTIMUM’s patented optimization algorithms to create optimized solutions with a minimum number of model evaluations.

·     It can create from 1 to 20 optimized solutions in a single iteration.

·     It provides Sensitivity Analysis for every objective by every design space variable.

·     It's optimization algorithms are the ANTITHESIS of “genetic/evolutionary algorithms”. It provides fast and economical multi-objective optimizations.

·     Pareto Studies are done at the click of a button.

The DOES PARADIGM is a “game changer” for engineers, designers, scientists and analysts.

DOES is NOT

·     a Linear Programming problem solver

·     a Gradient optimizer

·     a Genetic/Evolutionary algorithm based optimizer

DOES does NOT

·     make any linear assumptions

·     use Meta Models

·     use approximate Response Surfaces

·     Extrapolate

·     Interpolate

Every calculation is a COMPLETE SOLUTION OF THE MODEL OR PROBLEM