Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation

Hybrid Biogeography/Complex-based Optimization

Authors
Chen Wang, Yang Yang
Corresponding Author
Chen Wang
Available Online November 2016.
DOI
https://doi.org/10.2991/iwama-16.2016.56How to use a DOI?
Keywords
biogeography; SA; many-objectives optimization
Abstract
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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
6th International Workshop of Advanced Manufacturing and Automation
Part of series
Advances in Economics, Business and Management Research
Publication Date
November 2016
ISBN
978-94-6252-243-5
ISSN
2352-5428
DOI
https://doi.org/10.2991/iwama-16.2016.56How to use a DOI?
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  - 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  -