Dynamic multi-objective evolutionary algorithm with center point prediction strategy using ensemble Kalman filter
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-021-05668-7.pdf
Reference53 articles.
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3. Branke J, Kaubler T, Schmidt C, Schmeck H (2000) A multi-population approach to dynamic optimization problems. In: Evolutionary design and manufacture. Springer, London, pp 299–307
4. Deb K (2002) A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-2. IEEE Trans Evol Comput 6(2):182–197
5. Deb K, Karthik S (2007) Dynamic multi-objective optimization and decision-making using modified NSGA-II: a case study on hydro-thermal power scheduling. In: International conference on evolutionary multi-criterion optimization. Springer, Berlin, pp 803–817
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