With the continuous growth of family wealth, how to realize scientific and reasonable asset allocation has become a key issue to enhance the effectiveness of family wealth management. In this paper, we propose an optimization model based on multi-objective evolutionary algorithm for the multi-objective optimization problem of family asset allocation, aiming at balancing investment return and risk at the same time. A multi-objective mathematical model of family asset allocation covering return, risk and liquidity is established; the classical multi-objective evolutionary algorithm (e.g., NSGA-II) is adopted and improved, and the coding scheme and fitness function adapted to the characteristics of family asset allocation are designed. The results show that the proposed algorithm performs well in terms of optimization efficiency and diversity of solutions, and can provide diversified optimal solutions for family asset allocation. The practical application prospects and future improvement directions of the algorithm are discussed. This study provides an effective method and theoretical support for intelligent decision-making of family asset allocation.
Fuai Jiao (Sun,) studied this question.