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 :
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