Multi-objective evolutionary algorithm based engineering design optimization
US7996344B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Mar 8, 2010 |
| Grant date | Aug 9, 2011 |
| Priority date | — |
| Expiry date | Mar 8, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2111/06
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods of obtaining a set of better converged and diversified Pareto optimal solutions in an engineering design optimization of a product (e.g., automobile, cellular phone, etc.) are disclosed. According to one aspect, a plurality of MOEA based engineering optimizations of a product is conducted independently. Each of the independently conducted optimizations differs from others with parameters such as initial generation and/or evolutionary algorithm. For example, populations (design alternatives) of initial generation can be created randomly from different seed of a random or pseudo-random number generator. In another, each optimization employs a particular revolutionary algorithm including, but not limited to, Nondominated Sorting Genetic Algorithm (NSGA-II), strength Pareto evolutionary algorithm (SPEA), etc. Furthermore, each independently conducted optimization's Pareto optimal solutions are combined to create a set of better converged and diversified solutions. Combinations can be performed at one or more predefined checkpoints during evolution process of the optimization.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.