Hybrid Biogeography/Complex-based Optimization
Chen Wang, Yang Yang
Available Online November 2016.
- https://doi.org/10.2991/iwama-16.2016.56How to use a DOI?
- biogeography; SA; many-objectives optimization
- The optimization of complex systems is a very difficult problem in modern engineering technology. It is with multi-subsystems, multi-objectives and multi-constraints. In this paper, a novel solution to the complex systems optimization called HBBO/Complex. HBBO/Complex adapted from biogeography-based optimization (BBO) and combined the simulated annealing (SA). The inferior migrated islands will not be selected unless they pass the Metropolis criterion of SA. This method can prevent the local optimal solution. Compared with typical existing many-objective optimization algorithms, HBBO/complex has better convergence characteristics. The results confirm the HBBO/complex provides the best performance in the benchmark problems.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Chen Wang AU - Yang Yang PY - 2016/11 DA - 2016/11 TI - Hybrid Biogeography/Complex-based Optimization BT - Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation PB - Atlantis Press SP - 295 EP - 299 SN - 2352-5428 UR - https://doi.org/10.2991/iwama-16.2016.56 DO - https://doi.org/10.2991/iwama-16.2016.56 ID - Wang2016/11 ER -