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https://doi.org/10.1007/978-3-642-41278-3_33
DC Field | Value | |
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dc.title | A novel diversity maintenance scheme for evolutionary multi-objective optimization | |
dc.contributor.author | Gee, S.B. | |
dc.contributor.author | Qiu, X. | |
dc.contributor.author | Tan, K.C. | |
dc.date.accessioned | 2014-10-07T04:40:44Z | |
dc.date.available | 2014-10-07T04:40:44Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Gee, S.B.,Qiu, X.,Tan, K.C. (2013). A novel diversity maintenance scheme for evolutionary multi-objective optimization. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8206 LNCS : 270-277. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-41278-3_33" target="_blank">https://doi.org/10.1007/978-3-642-41278-3_33</a> | |
dc.identifier.isbn | 9783642412776 | |
dc.identifier.issn | 03029743 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/83395 | |
dc.description.abstract | Recently, decomposition-based multi-objective evolutionary algorithm (MOEA/D) has received increasing attentions due to its simplicity and decent optimization performance. In the presence of the deceptive optimum, the weight vector approach used in MOEA/D may not be able to prevent the population traps into local optimum. In this paper, we propose a new algorithm, namely Diversity Preservation Multi-objective Evolutionary Algorithm based on Decomposition (DivPre-MOEA/D), which uses novel diversity maintenance scheme to enhance the performance of MOEA/D. The proposed algorithm relaxes the dependency of the weight vector approach on approximated ideal vector to maintain diversity of the population. The proposed algorithm is evaluated on CEC-09 test suite and compared the optimization performance with MOEA/D. The experiment results show that DivPre-MOEA/D can provide better solutions spread along the Pareto front. © 2013 Springer-Verlag. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-41278-3_33 | |
dc.source | Scopus | |
dc.subject | decomposition | |
dc.subject | Diversity-preservation | |
dc.subject | multi-objective evolutionary algorithm | |
dc.type | Conference Paper | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1007/978-3-642-41278-3_33 | |
dc.description.sourcetitle | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
dc.description.volume | 8206 LNCS | |
dc.description.page | 270-277 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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