Earticle

초록

영어

A global optimal algorithm derived from electromagnetism-like mechanism (EM), called as enhanced searching electromagnetism-like (ESEM) algorithm, was developed in this paper. The original EM is a meta-heuristic algorithm utilizing an attraction-repulsion mechanism (called as force F) to move sample points towards optimality in global optimization problems. Compared to the original algorithm, the best historical visited positions of each point were added into the search process in the improved algorithm. In ESEM, the search direction and step length of points were determined together by its best previously visited position, best point in current swarm and total force F. Preliminary experiments showed that additional best historical positions can help to improve the convergence property. More importantly, the improved searching mechanism can effectively solve the problem of stagnation of the original algorithm caused by too small values of force F.

목차

Abstract
 1. Introduction
 2. A Brief Review of EM
  2.1. The Principle of EM
  2.2. Motivation
 3. The Revised Algorithm
  3.1. Initialization
  3.2. Local Search
  3.3. Calculating of Charge and Force Vector
  3.4. Moving Points
 4. Computational Experiments
  4.1. Tests of the Basic Convergence Properties
  4.2. Further Test Set
  4.3. Graphic Illustration of the Performance
 5. Conclusions
 Acknowledgments
 References

키워드

저자

• Zhang Ruiqi [ School of Electrical Engineering, Wuhan University, Wuhan,430072, China ]
• Yin Feng [ College of Information Engineering, Xiangtan University, Xiangtan, 411105,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