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- MPI
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- Update:
- 2013-05-28
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- 张绍泉
Description: This paper proposes an example-based learning PSO (ELPSO) to overcome these shortcomings
by keeping a balance between swarm diversity and convergence speed. Inspired by
a social phenomenon that multiple good examples can guide a crowd towards making progress,
ELPSO uses an example set of multiple global best particles to update the positions of
the particles.
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