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.
%0 Journal Article
%1 sutcliffe_applying_2007
%A Sutcliffe, A.
%A Chang, W.-C.
%A Neville, R. S.
%D 2007
%J Systems, Man and Cybernetics, Part A, IEEE Transactions on
%K Evolutionary computing,must-read,simulation models,socio-technical systems
%P 770-779
%T Applying Evolutionary Computing to Complex Systems Design
%V 37
%X 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.
@article{sutcliffe_applying_2007,
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. },
added-at = {2007-10-19T18:55:16.000+0200},
author = {Sutcliffe, A. and Chang, W.-C. and Neville, R. S.},
biburl = {https://www.bibsonomy.org/bibtex/238f6fd7f8e88995b8217b72c3815ea9b/neilernst},
description = {zotero},
interhash = {464ebc9ad8a93103a5df3b8f256016ad},
intrahash = {38f6fd7f8e88995b8217b72c3815ea9b},
issn = {1083-4427},
journal = {Systems, Man and Cybernetics, Part A, IEEE Transactions on},
keywords = {Evolutionary computing,must-read,simulation models,socio-technical systems},
pages = {770-779},
timestamp = {2007-10-19T18:55:18.000+0200},
title = {Applying Evolutionary Computing to Complex Systems Design},
volume = 37,
year = 2007
}