Redesign of PAK’s interfaces to fit OSICE and CloudiFacturing requirements

Abstract

Simulation-based optimization integrates optimization techniques into a simulation analysis. Because of the complexity of the simulation, the objective function becomes difficult and expensive for an evaluation. In our example, the simulation considers structural analysis using the finite element method (FEM), the estimation of the welds number, the costs associated with the welding process, and the simplicity of the assembly process. To overcome the computing complexity, we are using OSICE, a comprehensive, cost-effective, and easy-to-use HPC/Grid and Cloud-based optimization service for solving large-scale optimization problems using parallel evolutionary algorithms. For this particular Application Experiment, after the initial definition of technical requirements, PAK input/output interfaces were redesigned to fit OSICE and CloudiFacturing requirements.