Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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| Issue Date | Title | Author(s) |
|---|---|---|
| 2008 | Fast multi-swarm optimization for dynamic optimization problems | Li, C; Yang, S |
| 2006 | Job-shop scheduling with an adaptive neural network and local search hybrid approach | Yang, S |
| 2003 | Non-stationary problem optimization using the primal-dual genetic algorithm | Yang, S |
| 2009 | Hyper-learning for population-based incremental learning in dynamic environments | Yang, S; Richter, H |
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