Study on Optimization of Landscape Design Strategy in Residential Park Based on Intelligent Algorithm

The landscape design strategy optimization is critical in the healthy landscape of residential parks, however it has an issue with erroneous performance positioning. The typical Bee colony algorithm is unable to address the strategy optimization design issue in the healthy landscape of residential parks, and the result is insufficient. As a result, a Intelligent algorithms-based research on optimization of healthy landscape design strategy of residential park is provided, and the research on optimization of healthy landscape design strategy of residential park is assessed. To begin, the artificial intelligence theory is used to discover the influencing elements, and the indicators are split based on the landscape design strategy optimization's needs to decrease interference factors in the landscape design strategy optimization. The artificial intelligence theory is then used to create a Intelligent algorithms landscape design strategy optimization scheme, and the outcomes of the landscape design strategy optimization are thoroughly examined. The MATLAB simulation results reveal that, under particular evaluation conditions, the Intelligent algorithms outperforms the standard Bee colony algorithm in terms of landscape design strategy optimization accuracy and time of influencing variables.