Download eArtius-ANSYS Optimization Add-in
eArtius - OPTIMUS plug-in provides four innovative multi-objective optimization algorithms. The algorithms utilize eArtius' new fast approach of gradient estimation (DDRSM), and new multi-objective optimization techniques such as directed optimization on Pareto frontier and hybrid genetic algorithms + gradient techniques. Synergy of these techniques allows highly dimensioned multi-objective problems to be solved in a fraction of the time that other methods require.
eArtius - OPTIMUS plug-in includes four multi-objective optimization algorithms:
- Multi-Gradient Explorer (MGE) algorithm uses a conventional approach for optimization practice. It starts from an initial point, and iterates toward Pareto frontier until a Pareto optimal point is found. Then it takes another initial point, iterates again, and so on;
- Multi-Gradient Pathfinder (MGP) algorithm uses Pareto frontier as a search space for multi-objective optimization, and performs in this way directed optimization on Pareto frontier. Directed optimization on Pareto frontier means that a search algorithm steps along Pareto frontier from a given initial Pareto optimal point towards a desired Pareto optimal point;
- Hybrid Multi-Gradient Explorer (HMGE) combines a GA framework with unique eArtius approach to estimate gradients. In this way HMGE combines strengths and avoids weaknesses of two major optimization approaches: gradient-based techniques and Genetic Algorithms (GAs);
- Hybrid Multi-Gradient Pathfinder (HMGP) algorithm is a new multi-objective optimization algorithm which combines elements of MGP (Multi-Gradient Pathfinder) algorithm with elements of genetic algorithms (GA).
All eArtius optimization algorithms use a new approach of gradient estimation developed at eArtius: Dynamically Dimensioned Response Surface Method (DDRSM). DDRSM is equally efficient for low-dimensional and high-dimensional tasks. It requires just 5-7 model evaluations to estimate gradients regardless of task dimension. DDRSM has been tested with up to 5,000 design variables.
The following screenshots give an idea how to access eArtius optimization algorithms in the Noesis OPTIMUS design optimization environment
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eArtius - OPTIMUS plug-in is simple to insert into your existing OPTIMUS Environment. After the deployment has been performed, all four multi-objective optimization algorithms become accessible from the OPTIMUS graphical user interface (see the above screenshots.)
How does eArtius - OPTIMUS plug-in work? Register for a Demonstration.