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作者:

Gao, Yang (Gao, Yang.) | Li, Yunhai (Li, Yunhai.) | Pan, Weiyi (Pan, Weiyi.) | Wang, Yaojun (Wang, Yaojun.)

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摘要:

The optimization of the financial industrial structure (FIS) is one of the critical approaches to promote economic development under the new normal. Using the panel data of 30 provinces and cities except for Tibet from 2007 to 2016, this study analyzes the optimization objective of the FIS and establishes an optimization model of the FIS based on the economic development multi-objectives. Then several multi-objective evolutionary optimization algorithms are applied to solve the optimal FIS, and a possible research direction for the optimization of the multi-objective financial structure is provided. The result is of great significance for the theoretical and practical studies of financial structure optimization. © 2019 IEEE.

关键词:

Advanced Analytics Big data Economic and social effects Evolutionary algorithms Finance Industrial economics Industrial research Multiobjective optimization Shape optimization Structural optimization

作者机构:

  • [ 1 ] [Gao, Yang]School of Economics and Management Beijing University of Technology, Beijing, China
  • [ 2 ] [Li, Yunhai]School of Economics and Management Beijing University of Technology, Beijing, China
  • [ 3 ] [Pan, Weiyi]Institute of Computing Technology Chinese Academy of Sciences, Beijing, China
  • [ 4 ] [Wang, Yaojun]Guanghua School of Management Peking University, Beijing, China

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年份: 2019

页码: 163-167

语种: 英文

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