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Author:

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

Indexed by:

CPCI-S

Abstract:

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.

Keyword:

Financial industrial structure Evolutionary algorithm Big Data Multi-objective optimization

Author Community:

  • [ 1 ] [Gao, Yang]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China
  • [ 2 ] [Li, Yunhai]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China
  • [ 3 ] [Pan, Weiyi]Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
  • [ 4 ] [Wang, Yaojun]Peking Univ, Guanghua Sch Management, Beijing, Peoples R China

Reprint Author's Address:

  • [Wang, Yaojun]Peking Univ, Guanghua Sch Management, Beijing, Peoples R China

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Source :

2019 4TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS (ICBDA 2019)

Year: 2019

Page: 163-167

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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