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Cluster Computing

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30-01-2018

Analysis method of competitive advantage of new industrial innovation alliance based on contraction factor particle swarm optimization (PSO)

Author: Yuan-Qiang Lian

Published in: Cluster Computing | Special Issue 2/2019

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Abstract

To improve effectiveness of competitive advantage analysis algorithm of emerging industry innovation union, a kind of competitive advantage analysis method of emerging industry innovation union based on constriction factor particle swarm optimization (PSO) is proposed. Firstly, competitive advantage evaluation model of emerging industry innovation union is constructed aimed at uncertain influence factor existing in evaluation to strategic emerging industry; secondly, particle swarm optimization is introduced, and to avoid premature convergence problem existing in particle swarm optimization and realize rapid convergence of particle to global optimal solution, constriction factor and two operators, i.e. “attraction” and “diffusion”, are introduced in this paper so that diversity of particle swarm is kept and better convergence rate is possessed. Finally, through empirical analysis to strategic emerging industry evaluation of an area, feasibility and rationality of the method are verified.

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Title: Analysis method of competitive advantage of new industrial innovation alliance based on contraction factor particle swarm optimization (PSO)
Author: Yuan-Qiang Lian
Publication date: 30-01-2018
Publisher: Springer US
Published in: Cluster Computing / Issue Special Issue 2/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-018-1863-2

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