A dynamic multi-objective evolutionary algorithm based on geometric prediction and vector–scalar transformation strategy
Dynamic multi-objective evolutionary algorithms (DMOEAs) have attracted significant attention from scholars due to their strong robustness and wide range of applications across various fields. A current research focus is on how to quickly track the changing Pareto Set (PS) and Pareto Front (PF); how...
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| Published in: | Swarm and evolutionary computation Vol. 96; p. 101987 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.07.2025
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| Subjects: | |
| ISSN: | 2210-6502 |
| Online Access: | Get full text |
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