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A decomposition based multiobjective evolutionary algorithm with classification

Lin, X and Zhang, Q and Kwong, S (2016) A decomposition based multiobjective evolutionary algorithm with classification. In: UNSPECIFIED, ? - ?.

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This paper investigates how to use a pre-selection approach to improve the performance of the multiobjective evolutionary algorithm based on decomposition (MOEA/D). It proposes a novel MOEA/D algorithm with classification to serve this purpose. The proposed algorithm builds a classification model on the search space to filter all new generated solutions, and mainly evaluates those promising solutions for reducing real function evaluation costs during the search process. Experimental study on different test instances validates that the pre-selection approach can significantly improve the performance of a classical MOEA/D.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2016 IEEE Congress on Evolutionary Computation, CEC 2016
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 14 Dec 2016 09:49
Last Modified: 30 Mar 2021 15:15

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