A New Magnetotactic Bacteria Optimization Algorithm Based on Moment Migration

2014 ◽  
pp. 103-114 ◽  
Author(s):  
Hongwei Mo ◽  
Lili Liu ◽  
Mengjiao Geng
Keyword(s):  
Optimization Algorithm ◽  
Magnetotactic Bacteria

Magnetotactic Bacteria Optimization Algorithm Based On Four Best-Rand Pairwise Schemes

2014 ◽  
Vol 5 (3) ◽  
pp. 22-40
Author(s):  
Hongwei Mo ◽  
Lifang Xu ◽  
Lili Liu ◽  
Yanyan Zhao
Keyword(s):  
Optimization Algorithm ◽  
Geomagnetic Field ◽  
Development Process ◽  
Optimization Problems ◽  
Optimization Algorithms ◽  
Magnetotactic Bacteria ◽  
Experimental Results ◽  
Superior Performance ◽  
Standard Function ◽  
Field Lines

Magnetotactic bacteria optimization algorithm (MBOA) is an optimization algorithm based on the characteristics of magnetotactic bacteria, which is a kind of polyphyletic group of prokaryotes with the characteristics of magnetotaxis that make them orient and swim along geomagnetic field lines. MBOA mimics the development process of magnetosomes (MTSs) in magnetotactic bacteria to solve problems. In this paper, four improved MBOAs are researched. Four pairwise MTSs regulation schemes based on the best individual and randomly chosen one are proposed in order to study which scheme is more suitable for solving optimization problems. They are tested on fourteen standard function problems and compared with many popular optimization algorithms, including PSO, DE, ABC and their variants. Experimental results show that all the schemes of MBOA are effective for solving most of the benchmark functions, but have different performance on a few benchmark functions. The fourth MBOA scheme has superior performance to the compared methods on many benchmark functions.

Magnetotactic Bacteria Optimization Algorithm (MBOA) for Function Optimization

2018 ◽  
pp. 97-118
Author(s):  
Lili Liu ◽  
Hongwei Mo
Keyword(s):  
Optimization Algorithm ◽  
Development Process ◽  
Optimization Problems ◽  
Optimization Algorithms ◽  
Magnetotactic Bacteria ◽  
Function Optimization ◽  
Experimental Results ◽  
Superior Performance ◽  
Test Functions ◽  
The Individual

Magnetotactic bacteria is a kind of prokaryotes with the characteristics of magnetotaxis. Magnetotactic bacteria optimization algorithm (MBOA) is an optimization algorithm based on the characteristics of magnetotaxis. It mimics the development process of magnetosomes (MTSs) in magnetotactic bacteria. In this chapter, four pairwise MTSs regulation schemes based on the best individual and randomly chosen one are proposed to study which scheme is more suitable for solving optimization problems. They are tested on 14 functions and compared with many popular optimization algorithms, including PSO, DE, ABC, and their variants. Experimental results show that all the schemes of MBOA are effective for solving most of test functions but have different performance on a few test functions. The fourth MBOA scheme has superior performance to the compared methods on many test functions. In this scheme, the algorithm searches around the current best individual to enhance the convergence of MBOA and the individual can migrate to the current best individual to enhance the diversity of the MBOA.

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