The following diagram reflects the most innovative aspects of the technology which makes it superior compared with traditional design optimization approaches:

eArtius provides four multi-objective optimization algorithms MGE, MGP, HMGE, and HMGP. All the algorithms are scalable (up to 5,000 design variables), and provide high efficiency because they are based on a new approach of gradient estimation (DDRSM), and use innovative optimization techniques developed at eArtius.

All eArtius optimization algorithms are available in eArtius design optimization product Pareto Explorer, and in plug-ins designed for three the most popular commercial design optimization environments such as Noesis OPTIMUS, ESTECO modeFrontier, and Simulia Isight.