Visualization of Pareto Optimal Fronts for Multiple Objectives with D-SPEX

Most engineering optimization problems require multi-objective optimizations that have no unique optimum because the objectives often conflict. LS-OPT 3.3 offers the capability to simultaneously compute many Pareto optimal solutions using a multi-objective genetic algorithm. The optimization post processing tool D-SPEX provides advanced features to visualize these Pareto optimal solutions and to approximate the Pareto optimal front using the moving least squares method. In addition, the moving least squares method may now be used in D-SPEX as an additional option for building response surfaces as well as for the computation of virtual histories.