A New Hybrid Nature-inspired Algorithm for Multi-objective Engineering Optimization

DOI

10.2991/lemcs-15.2015.184How to use a DOI?

Keywords

Natured-inspired; Optimzation; Hybrid; Multi-objective; Infectious mechanism

Abstract

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.

Copyright

© 2015, 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  - Zhijie Zhang
PY  - 2015/07
DA  - 2015/07
TI  - A New Hybrid Nature-inspired Algorithm for Multi-objective Engineering Optimization
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 931
EP  - 935
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.184
DO  - 10.2991/lemcs-15.2015.184
ID  - Zhang2015/07
ER  -