Archivers for the representation of the set of approximate solutions for MOPs

Author:

Schütze O.,Hernández C.,Talbi E-G.,Sun J. Q.,Naranjani Y.,Xiong F.-R.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Management Science and Operations Research,Control and Optimization,Computer Networks and Communications,Information Systems,Software

Reference49 articles.

1. Al Moubayed, N., Petrovski, A., McCall, J.: D2MOPSO: MOPSO based on decomposition and dominance with archiving using crowding distance in objective and solution spaces. Evol. Comput. 22(1), 47–77 (2014)

2. Blanquero, R., Carrizosa, E.: A d.c. biobjective location model. J. Glob. Optim. 23(2), 569–580 (2002)

3. Bolintineanu, S.: Vector variational principles; $$\epsilon $$ ϵ -efficiency and scalar stationarity. J. Convex Anal. 8, 71–85 (2001)

4. Deb, K.: Multi-objective Optimization Using Evolutionary Algorithms. Wiley, Chichester (2001). ISBN 0-471-87339-X

5. Ehrgott, M.: Multicriteria Optimization. Springer, Berlin (2005)

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