A Survey of Decomposition Methods for Multi-objective Optimization-Reference-Cited by-同舟云学术

A Survey of Decomposition Methods for Multi-objective Optimization

Published:2014 Issue: Volume: Page:453-465
ISSN:1860-949X
Container-title:Studies in Computational Intelligence
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Author:

Santiago Alejandro,Huacuja Héctor Joaquín Fraire,Dorronsoro Bernabé,Pecero Johnatan E.,Santillan Claudia Gómez,Barbosa Juan Javier González,Monterrubio José Carlos Soto

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-05170-3_31

Reference43 articles.

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2. Dantzig, G.B., Harvey, R.P., Lansdowne, Zachary F., Robinson, D.W., Maier, S.F.: Formulating and solving the network design problem by decomposition. Transp. Res. Part B: Methodol. 13(1), 5–17 (1979)

3. Sobieszczanski-Sobieski, J., James, B.B., Dovi, A.R.: Structural optimization by multi level decomposition. AIAA J. 23(11), 1775–1782 (1985)

4. Ovacik, I.M., Uzsoy, R.: Decomposition Methods for Complex Factory Scheduling Problems. Kluwer Academic Publishers, Boston (1997)

5. Dorronsoro, B., Danoy, G., Nebro, A.J., Bouvry, P.: Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution. Comput. Oper. Res. 40(6), 1552–1563(2013) (Emergent nature inspired algorithms for multi-objective optimization)

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