Ensemble differential evolution with dynamic subpopulations and adaptive clearing for solving dynamic optimization problems
Many real-life optimization problems are dynamic in time, demanding optimization algorithms to perform search for the best solutions in a time-varying problem space. Among population-based Evolutionary Algorithms (EAs), Differential Evolution (DE) is a simple but highly effective method that has bee...
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| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/84643 http://hdl.handle.net/10220/12029 |
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| Institution: | Nanyang Technological University |
| Language: | English |