Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-41278-3_33
Title: A novel diversity maintenance scheme for evolutionary multi-objective optimization
Authors: Gee, S.B.
Qiu, X.
Tan, K.C. 
Keywords: decomposition
Diversity-preservation
multi-objective evolutionary algorithm
Issue Date: 2013
Source: 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. https://doi.org/10.1007/978-3-642-41278-3_33
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.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/83395
ISBN: 9783642412776
ISSN: 03029743
DOI: 10.1007/978-3-642-41278-3_33
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

5
checked on Feb 21, 2018

Page view(s)

24
checked on Feb 24, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.