Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/85254
Title: Decomposition-based multiobjective evolutionary algorithm with an ensemble of neighborhood sizes
Authors: Suganthan, P. N.
Zhao, Shi-Zheng.
Zhang, Qing Fu.
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
Source: Zhao, S. Z., Suganthan, P. N., & Zhang, Q. F. (2012). Decomposition-based multiobjective evolutionary algorithm with an ensemble of neighborhood sizes. IEEE transactions on evolutionary computation, 16(3), 442-446.
Series/Report no.: IEEE transactions on evolutionary computation
Abstract: The multiobjective evolutionary algorithm based on decomposition (MOEA/D) has demonstrated superior performance by winning the multiobjective optimization algorithm competition at the CEC 2009. For effective performance of MOEA/D, neighborhood size (NS) parameter has to be tuned. In this letter, an ensemble of different NSs with online self-adaptation is proposed (ENS-MOEA/D) to overcome this shortcoming. Our experimental results on the CEC 2009 competition test instances show that an ensemble of different NSs with online self-adaptation yields superior performance over implementations with only one fixed NS.
URI: https://hdl.handle.net/10356/85254
http://hdl.handle.net/10220/16502
DOI: 10.1109/TEVC.2011.2166159
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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