Entropy based evolutionary algorithm with adaptive reference points for many-objective optimization problems
Many-objective optimization problems (MaOPs) have attracted more and more attention due to its challenges for multi-objective evolutionary algorithms. Reference points or weight vectors based evolutionary algorithms have been developed successfully for solving MaOPs. However, these algorithms do not...
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| Published in: | Information sciences Vol. 465; pp. 232 - 247 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Inc
01.10.2018
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| Subjects: | |
| ISSN: | 0020-0255, 1872-6291 |
| Online Access: | Get full text |
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