A New Hybrid Nature-inspired Algorithm for Multi-objective Engineering Optimization
Available Online July 2015.
- https://doi.org/10.2991/lemcs-15.2015.184How to use a DOI?
- Natured-inspired; Optimzation; Hybrid; Multi-objective; Infectious mechanism
- In this paper a new natured-inspired algorithm, based on the based on the prevalent mechanism of infectious diseases, was designed for multi-objective optimization. This optimization algorithm derived from the susceptible infected and removed model, mimic the transmission mechanism of infectious diseases, called hybrid infection model optimization algorithm (HIA). Similar to the other natured-inspired algorithms, the HIA used the spread transmission way of disease and the incremental iteration movement of the every generation new sources of infection to search the global optimum. The results showed that the HIA has good convergence and can quick search to the global optimal solution with fewer time of iterations for multi-objective optimizations. For some optimization instances the HIA algorithm has faster speed for search better approximate solution or search the best solution more precisely.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhijie Zhang PY - 2015/07 DA - 2015/07 TI - A New Hybrid Nature-inspired Algorithm for Multi-objective Engineering Optimization BT - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2015) PB - Atlantis Press SP - 931 EP - 935 SN - 1951-6851 UR - https://doi.org/10.2991/lemcs-15.2015.184 DO - https://doi.org/10.2991/lemcs-15.2015.184 ID - Zhang2015/07 ER -