Earticle

초록

영어

In this paper, based on Magnetotactic Bacteria Optimization Algorithm(MBOA), magnetotactic bacterium multi-objective optimization algorithm (MBMOA) is proposed for solving multi-objective optimization problems(MOPs). Magnetotactic bacterium optimization algorithm is a novel random research algorithm which simulates the process of magnetotactic bacteria (MTB) producing magnetosomes(MTS) to regulate cell moment and makes the magnetostatic energy reach the minimum .The algorithm MBOA proposed three operators named by MTS producing, MTS amplification and MTS replacement by imitating the development process of magnetosomes, the adjustment process of magnetosomes moment and the replacement process of magnetosome with worse moment. In MBMOA, MBOA is applied to produce the next population, while non-dominated feasible solutions gained by MBOA are conserved in the archive, then the evaluation method of SPEA2 is adopted to update the archive, at the last through benchmark functions test and classic algorithm comparison, the simulation results show that the MBMOA is feasible and effective for solving multi-objective optimization problems.

목차

Abstract
 1. Introduction
 2. Magnetotactic Bacteria Optimization Algorithm (MBOA)
  2.1. MTS Producing
  2.2. MTS Amplification
  2.3. MTS Replacement
  2.4. The Process of MBOA
 3. Magnetotactic Bacterium Multi-objective Optimization Algorithm (MBMOA)
 4. The Simulation Experiment
  4.1. Benchmark Function Test
  4.2. Comparison with Classic Algorithms
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Zhidan Xu [ Institute of Basic Science, Harbin University, of Commerce, Harbin, China ]

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