Abstract
The evolving nature of system-of-systems requirements and corresponding architecture, and the complex causal relationship between the architecture of system-of-systems and its emergent behavior make the problem of system-of-systems architecture development a great challenge. as a tentative effort in meeting this special challenge, a new evolutionary computation paradigm- named Cognition Evolutionary Computation(CEC) is proposed, which models the creative cognition process of divergent and convergent thinking, adaptation and innovation, that drives the co-evolution of problem space, knowledge space and solution space. the optimization algorithm for CEC uses causal probabilistic network as the knowledge representation mechanism. a theoretical framework for CEC based system-of-system architecture generation, evaluation and optimization is discussed. © 2011 Published by Elsevier Ltd.
Recommended Citation
F. Yang et al., "Cognition Evolutionary Computation for System-of-systems Architecture Development," Procedia Computer Science, vol. 6, pp. 40 - 45, Elsevier, Jan 2011.
The definitive version is available at https://doi.org/10.1016/j.procs.2011.08.010
Department(s)
Engineering Management and Systems Engineering
Publication Status
Open Access
Keywords and Phrases
Architecture; Cognition Evolutionary Computation; Evolutionary computation; System-of-systems
International Standard Serial Number (ISSN)
1877-0509
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2024 Elsevier, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Publication Date
01 Jan 2011
Comments
National Natural Science Foundation of China, Grant 61074107