Constrained Multiobjective Optimization via Multitasking and Knowledge Transfer
Solving constrained multiobjective optimization problems (CMOPs) with various features and challenges via evolutionary algorithms is very popular. Existing methods usually adopt an additional helper problem to simplify and solve them by divide and conquer. This article proposes a new multitasking fr...
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| Published in: | IEEE transactions on evolutionary computation Vol. 28; no. 1; pp. 77 - 89 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
01.02.2024
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| Subjects: | |
| ISSN: | 1089-778X, 1941-0026 |
| Online Access: | Get full text |
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