A multi-agent differential evolution for linear array synthesis
This paper describes a multi-agent differential evolution (MADE) for optimizing linear arrays synthesis. In order to find better solution, each individual of MADE as a agent compete or cooperate with their neighbors, then perform crossover, mutation and selection to diffused global knowledge. And it...
| Main Authors: | , |
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| Format: | Conference Paper |
| Published: |
2010
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| Online Access: | http://hdl.handle.net/20.500.11937/39206 |
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