Adaptive Differential Evolution With Evolution Memory for Multiobjective Optimization
In this paper, a multiobjective differential evolution (MODE) algorithm is developed by incorporating the memory mechanism of particle swarm optimization. That is, the personal best concept is used in the MODE to memorize the evolution of each solution through maintaining a set of non-dominated solu...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8579123/ |