System of Systems Architecture Generation and Evaluation Using Evolutionary Algorithms
This document has been relocated to http://scholarsmine.mst.edu/engman_syseng_facwork/268
There were 14 downloads as of 28 Jun 2016.
Abstract
Evolutionary algorithms and computational intelligence represent a developing technology and science that provides great potential in the area of system and system-of-systems architecture generation, categorization and evaluation. Classical system engineering analysis techniques have been used to represent a system architecture in a manner that is compatible with evolutionary algorithms and computational intelligence techniques. This paper focuses on specific system relationship configurations and attributes that are required to successfully aggregate the best-fit function in a fuzzy associative memory that is used in an evolutionary algorithm to generate and evaluate system architectures.