Research on an Intelligent Optimization Algorithm for Combinatorial Optimization Problem Based on Big Data

Abstract

In this era of rapid development, the development of a multi-level capital market is an urgent social concern. In the new era, new requirements are put forward for the study of portfolio optimization model in China. Under the background of big data era, if we want to further reduce and disperse the risk of financial investment market and increase the universality of portfolio investment optimization field in China, we must correctly deal with the impact and challenge brought by the era, combine with the new requirements of the new era, carry out reform and innovation on portfolio optimization, so as to promote its development. In order to better analyze the development progress of portfolio optimization problem; this paper puts forward a research method of intelligent optimization algorithm which applies big data technology to portfolio optimization problem, so as to put forward a set of new scheme of portfolio optimization problem which fully meets the development requirements of the new era. Through long-term research and analysis, it is found that the research scheme proposed in this paper successfully provides a new idea for the research method of intelligent optimization algorithm based on big data for combinatorial optimization problems.