| Title: | Niched-Pareto Genetic Algorithm for Aircraft Technology Selection Process |
| Author: | Patel, Chirag B. ; Kirby, Michelle Rene ; Mavris, Dimitri N. |
| Abstract: | Design of any complex system entails many objectives to reach and constraints to satisfy. This multi–objective nature of the problem ensures that the technology solution is always a compromise between conflicting objectives. The purpose of this paper is to demonstrate the application of Niched Pareto genetic algorithm as a relatively fast and straightforward method for obtaining technology sets that are distributed along the Pareto frontier in objective space. In this implementation, the genetic algorithm is wrapped around a technology evaluation environment to efficiently evaluate various technology combinations. Some of the major challenges include formulation of Pareto domination tournament and sharing function of Niched Pareto genetic algorithm for a technology selection problem, extracting Pareto front from population of the final generation and visualizing the results. |
| Description: | Presented at the 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 6-8 Sep. 2006, Portsmouth, VA. |
| Type: | Paper |
| URI: | http://hdl.handle.net/1853/25392 |
| Date: | 2006-09 |
| Contributor: | Georgia Institute of Technology. Aerospace Systems Design Laboratory |
| Relation: | ASDL; AIAA-2006-6956 |
| Publisher: | Georgia Institute of Technology |
| Subject: |
Genetic algorithms
Pareto optimality Design engineering Complex systems Aerospace systems Aircraft Formulations |
| Files | Size | Format | View |
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| Patel_2006_2.pdf | 423.5Kb |
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