Earticle

초록

영어

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. In this paper, an improved MBOA is proposed. At first, it generates moments based on the interaction energy of cells. Then, the moments of cells are regulated based on the best cell. Some cells have chance to move towards the best one. At last, some worse cells will be replaced by randomly generated solutions in order to keep diversity. Thus, it can find optimum solution. It is tested on ten standard function problems and compared with many popular optimization algorithms, including CLPSO, LeDE and ABC. Experiment results show that the improved MBOA is very effective in optimization problems and has superior performance to the compared methods on many benchmark functions.

목차

Abstract
 1. Introduction
 2. Magnetotactic Bacteria Optimization Algorithm Based on Best Moments
  2.1. Biological Basis
  2.2. Procedures of MBOA
 3. Simulation Results
  3.1. Benchmark Functions and Experiments Settings
  3.2. Comparison Results
 4. Conclusion
 References

키워드

저자

• Ce Yang [ Naval Academy of Armament ]
• Zhaofeng Chen [ Naval Academy of Armament ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605