Research on Intelligent Decision-making Algorithm Based on Multi-objective Optimisation and Dynamic Adjustment

Focusing on the application of computer algorithms to multi-objective optimisation problems, this paper constructs an optimal strategy model using linear programming, dynamic adjustment, and correlation analysis with the aim of maximising returns. Firstly, the core of the model is based on linear programming, which combines market prices, costs and sales scenarios to optimise resource allocation. Subsequently, a dynamic adjustment strategy is employed for uncertainty variables to ensure maximisation of returns under market volatility through annual optimisation. Further, a correlation matrix of variables is constructed through correlation analysis, and Monte Carlo simulation is used for risk assessment, which is combined with multi-objective optimisation techniques to achieve a balance between profit and risk. Ultimately, the model demonstrates the effectiveness and robustness of enhancing returns and controlling risks in complex scenarios.