Abstract
Evolutionary algorithms (EA) are part of artificial intelligence technology, and EA always suffers from the problem of particle stagnation. Most of the researches on particle stagnation focused on particle stagnation and searched in incorrect regions. However, by observes the particle moving trajectory, the author found that the particle is not only stagnation in a point but also wandering in a region. Therefore, this study analyzing the particle behaviors and break down the stagnating phenomenon to reinforce the understanding of stagnation problems currently. This study summarizes the phenomenon of particle stagnation and detailed discuss the root causes to reinforce the lack of understanding in particle stagnation currently. Finally, the author proposes corresponding strategies for different cases for the related researches in the future to handling the stagnation problem more comprehensively.
| Original language | English |
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| Title of host publication | 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728173993 |
| DOIs | |
| State | Published - 28 09 2020 |
| Event | 7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 - Taoyuan, Taiwan Duration: 28 09 2020 → 30 09 2020 |
Publication series
| Name | 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 |
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Conference
| Conference | 7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 |
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| Country/Territory | Taiwan |
| City | Taoyuan |
| Period | 28/09/20 → 30/09/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Particle attraction neutralize
- Particle stagnation
- Particle wandering
- Premature convergence
- Strategy of exploration and exploitation