Hybrid Biogeography/Complex-based Optimization

DOI

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/iwama-16.2016.56
ID  - Wang2016/11
ER  -