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A Practical Electromagnetism-Like Mechanism Algorithm

Authors: Shuang-Ji Wang; Xiao-Lei Cui;

A Practical Electromagnetism-Like Mechanism Algorithm

Abstract

According to the problems existing in the original Electromagnetism-like Mechanism (EM) algorithm, such as heavy computation, low convergence rate, and pathological feature in resultant force formula, this paper proposes a new practical EM algorithm after analyzing the function optimization principle of the original algorithm. By using normalizing the objective function value, the power formula is simplified. By introducing the correction factor into resultant force formula, the pathological feature in the resultant force formula is eliminated. Meanwhile the impact of distance factor on the force between particles in population is weakened, and the convergence rate is increased. Experiments show that the improved algorithm has a better convergence result and higher efficiency.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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