DocumentCode
3272965
Title
Magnetotactic bacteria optimization algorithm for multimodal optimization
Author
Hongwei Mo ; Lifang Xu
Author_Institution
Autom. Coll., Harbin Eng. Univ., Harbin, China
fYear
2013
fDate
16-19 April 2013
Firstpage
240
Lastpage
247
Abstract
Magnetotactic bacteria (MTB) is a kind of polyphyletic group of prokaryotes with the characteristics of magnetotaxis that make them orient and swim along geomagnetic field lines. Magnetotactic bacteria is the optimized product of nature by long process of evolution. A new optimization algorithm called magnetotactic bacteria optimization algorithm (MBOA), which is inspired by the characteristics of magnetotactic bacteria is researched on multimodal problems in the paper. It is compared with classical genetic algorithm and some relatively new optimization algorithms. All of them are tested on 10 standard multimodal functions problems. The experiment results show that the proposed MBOA is effective in optimization problems and has better performance than the other algorithms.
Keywords
evolutionary computation; optimisation; MBOA; MTB optimization algorithm; geomagnetic field lines; magnetotactic bacteria optimization algorithm; magnetotaxis; multimodal function problems; multimodal optimization; polyphyletic group; prokaryotes; Magnetic moments; Magnetostatics; Microorganisms; Optimization; Sociology; Statistics; Magnetotactic bacteria; nature inspired computing; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Swarm Intelligence (SIS), 2013 IEEE Symposium on
Conference_Location
Singapore
Type
conf
DOI
10.1109/SIS.2013.6615185
Filename
6615185
Link To Document