Search results
Results from the WOW.Com Content Network
The use of optimization software requires that the function f is defined in a suitable programming language and connected at compilation or run time to the optimization software. The optimization software will deliver input values in A , the software module realizing f will deliver the computed value f ( x ) and, in some cases, additional ...
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.
The software architecture of LIONsolver [5] permits interactive multi-objective optimization, with a user interface for visualizing the results and facilitating the solution analysis and decision-making process. The architecture allows for problem-specific extensions, and it is applicable as a post-processing tool for all optimization schemes ...
IOSO is the name of the group of multidisciplinary design optimization software that runs on Microsoft Windows as well as on Unix/Linux OS and was developed by Sigma Technology. It is used to improve the performance of complex systems and technological processes and to develop new materials based on a search for their optimal parameters.
Kimeme is an open platform for multi-objective optimization and multidisciplinary design optimization. It is intended to be coupled with external numerical software such as computer-aided design (CAD), finite element analysis (FEM), structural analysis and computational fluid dynamics tools. It was developed by Cyber Dyne Srl and provides both ...
The MOEA Framework is an open-source evolutionary computation library for Java that specializes in multi-objective optimization. It supports a variety of multiobjective evolutionary algorithms (MOEAs), including genetic algorithms, genetic programming, grammatical evolution, differential evolution, and particle swarm optimization. As a result ...
HEEDS (Hierarchical Evolutionary Engineering Design System) MDO is a software package that interfaces with commercial CAE tools in order to automate and improve the search for better product and/or process designs. HEEDS can perform both single-objective and multi-objective optimization.
Multi-objective optimization methods usually generate a so-called „Pareto front“ or use a weighting function to generate a single Pareto point. Based on the search methods, Optimus optimization methods (both single and multi-objective) can be categorized into: local optimization methods - searching for an optimum based on local information ...