System of systems architecture generation and evaluation using evolutionary algorithms

被引：0

作者：

Simpson, Joseph J. ^{[1
]}

Dagle, Chan H. ^{[2
]}

机构：

[1] Missouri Univ Sci & Technol, 6400 32nd Ave NW, Seattle, WA 98107 USA

[2] Missouri Univ Sci & Technol, Dept Engn Syst & Eng Mgt 229, Rolla, MO 65409 USA

来源：

2008 2ND ANNUAL IEEE SYSTEMS CONFERENCE | 2008年

关键词：

evolutionwy algorithms; system; system of systems; computational intelligence;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 conpatible with evolutionary algorithms and computational intelligence techniques This paper focuses on specific system relationslip 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.

引用

页码：38 / +

页数：2