Cluster Computing

, Volume 22, Supplement 2, pp 4291–4297 | Cite as

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

  • Yuan-Qiang LianEmail author


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.


Constriction factor Particle swarm optimization Emerging industry Innovation union Competitive advantage 



MOE (Ministry of Education in China) Project of Humanities and Social Sciences (Project No. 16YJC630062),Innovation Fund for science and technology of Yangzhou University (Project No. 2016CXJ100).


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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of BusinessYangzhou UniversityYangzhouChina

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