Novel particle swarm optimizers with hybrid, dynamic and adaptive neighborhood structures
Many real world problems can be formulated as optimization problems with various parameters to be optimized. Some problems only have one objective to be optimized, some may have multiple objectives to be optimized at the same time and some need to be optimized subjecting to one or more constraints....
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| Format: | Thesis |
| Language: | English |
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2010
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| Online Access: | https://hdl.handle.net/10356/41803 |