Applying evolutionary computing to complex systems design

Alistair Sutcliffe; Wei Chung Chang; Richard S. Neville

doi:10.1109/TSMCA.2007.902653

Applying evolutionary computing to complex systems design

Alistair Sutcliffe, Wei Chung Chang, Richard S. Neville

Management Sciences and Marketing

Research output: Contribution to journal › Article › peer-review

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. © 2007 IEEE.

Original language	English
Pages (from-to)	770-779
Number of pages	9
Journal	IEEE Transactions on Systems, Man and Cybernetics. Part A: Systems & Humans
Volume	37
Issue number	5
DOIs	https://doi.org/10.1109/TSMCA.2007.902653
Publication status	Published - Sept 2007

Keywords

Evolutionary computing
Requirements
Simulation models
Socio-technical systems

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10.1109/TSMCA.2007.902653

http://ieeexplore.ieee.org/iel5/3468/4292209/04292231.pdf

Cite this

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title = "Applying evolutionary computing to complex systems design",

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KW - Requirements

KW - Simulation models

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Applying evolutionary computing to complex systems design

Abstract

Keywords

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