Research on the Multi-objective Optimization of China's Financial Industrial Structure Based on the Evolutionary Algorithm

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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.

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