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投资市场具有一定的风险,影响因素包括经济、政治、市场自身规律等,根据市场机制构建合适的投资组合模型,可以有效降低市场风险,提高投资回报率.人工鱼群算法是模仿自然界鱼类的一种人工智能优化算法,具有较好的优化能力,但有时会陷入局部最优解.首先将人工鱼群算法与均匀变异相结合,加入均匀变异随机数,使算法能够跳出局部最优解,得到全局最优,从而提高算法精度.然后采用改进人工鱼群算法对投资组合模型进行优化求解.实验表明,改进人工鱼群算法具有较好的收敛精度和收敛速度,对投资组合模型的求解效果更好,风险下降,收益增加、
The investment market has some risks, such as economy, politics and the market’s own laws, etc. According to the market mechanism, building a suitable portfolio model can effectively reduce the market risk and improve the return on investment.The artificial fish swarm algorithm is to imitate the natural fish An artificial intelligence optimization algorithm has better optimization ability, but sometimes falls into the local optimal solution.Firstly, the artificial fish swarm algorithm is combined with the uniform mutation, and the uniform mutation random number is added to make the algorithm jump out of the local optimal solution, And get the global optimum to improve the precision of the algorithm.And then, the improved artificial fish-swarm algorithm is used to optimize the investment portfolio model.The experiment shows that the improved artificial fish-swarm algorithm has better convergence precision and convergence speed, and the solution to the portfolio model Better, risk reduction, earnings increase,