Multicriteria optimization of aircraft panels: Determining viable genetic algorithm configurations
✍ Scribed by Robert Flynn; Porter D. Sherman
- Book ID
- 102868359
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 661 KB
- Volume
- 10
- Category
- Article
- ISSN
- 0884-8173
No coin nor oath required. For personal study only.
✦ Synopsis
This article compares different Genetic Algorithm (GA) configurations for multicriteria optimization using the design of helicopter flat panels as a test bed. The results show that an efficient set of GA configurations can be determined through a two-step process and that the techniques used produced results as optimal as provided by expert rulebased techniques but found them in l/lOO the time. Phase I of the experiment established and tested a set of GA baseline configurations; Phase 2 expanded the most optimal baseline results into a set of preferred configurations. Over 700 GA configurations were tested and the effects of the different configurations are compared to previous studies based o n single criterion optimization. Guidelines for identifying and testing GA configurations are summarized.