학술논문

Applying Evolutionary Computing to Complex Systems Design
Document Type
Periodical
Source
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans IEEE Trans. Syst., Man, Cybern. A Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on. 37(5):770-779 Sep, 2007
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Power, Energy and Industry Applications
General Topics for Engineers
Humans
Systems engineering and theory
Constraint optimization
Design engineering
System analysis and design
Design optimization
Cost function
Reliability engineering
Processor scheduling
Aerospace engineering
Evolutionary computing
requirements
simulation models
socio-technical systems
Language
ISSN
1083-4427
1558-2426
Abstract
Development of an evolutionary computing tool for requirements analysis and optimization of component-based systems is described. The tool assesses scenarios that represent potential designs and their operational behavior, as well as how the designs perform in a range of environmental conditions. Designs are optimized for three objective functions: 1) reliability; 2) performance time; and 3) costs. Use of the tool is illustrated in a systems engineering case study to derive optimal design for a naval command and control system that includes human operator roles as well as technology components.