Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.procs.2011.08.010 | Procedia Computer Science |
Keywords | Field | DocType |
System-of-systems,Architecture,Evolutionary Computation,Cognition Evolutionary Computation | Interactive evolutionary computation,Space-based architecture,Human-based evolutionary computation,Computer science,System of systems,Evolutionary computation,Theoretical computer science,Artificial intelligence,Evolutionary programming,Evolutionary music,Knowledge space,Machine learning | Journal |
Volume | Issue | ISSN |
6 | null | 1877-0509 |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Yang | 1 | 18 | 4.42 |
| Cihan H. Dagli | 2 | 176 | 31.67 |
| Wang Weiping | 3 | 335 | 63.84 |