A Dual-System Variable-Grain Cooperative Coevolutionary Algorithm: Satellite-Module Layout Design

The layout design of complex engineering systems (such as satellite-module layout design) is very difficult to solve in polynomial time. This is not only a complex coupled system design problem but also a special combinatorial problem. The fitness function for this problem is characterized as multim...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 14; H. 3; S. 438 - 455
Hauptverfasser:	TENG, Hong-Fei, YU CHEN, WEI ZENG, SHI, Yan-Jun, HU, Qing-Hua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.06.2010 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithmics. Computability. Computer arithmetics Algorithms Applied sciences Artificial intelligence Combinatorial analysis Computation Computer science; control theory; systems Concurrent computing Convergence Design engineering Design optimization Dual-system coevolutionary Evolutionary algorithms Evolutionary computation Exact sciences and technology Genetic algorithms Heuristic Interference constraints Learning and adaptive systems Mathematical analysis Mathematical models Mechanical engineering. Machine design Polynomials premature convergence satellite-module layout Satellites Studies system layout design Systems engineering and theory Theoretical computing variable-grain Combinatorial problem Evolutionary algorithm Complex system Satellite Fork join problem Combinatorial optimization Modeling premature convergence Systems engineering Cooperation Robustness Multidisciplinary Divide and conquer method Physical structure variable-grain Process planning satellite-module layout Dual-system coevolutionary Coevolution Computational complexity Polynomial time Engineering design Genetic algorithm system layout design Parallelization
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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