Optimization Design of Architectural Landscape Space Environment Based on Grid Collaborative Optimization Algorithm

Grid collaborative optimization is an efficient optimization algorithm that utilizes multiple intelligent agents to work together to solve complex problems. In the grid collaborative optimization algorithm, the optimization problem space is divided into several grids to decompose the problem, and only one intelligent agent is specified within each grid to handle the problem. At the same time, information exchange between intelligent agents is utilized to collaborate on the problem, achieving efficient optimization. This article introduced a method for optimizing the design of architectural landscape spatial environment based on grid collaborative optimization algorithm. This method took the architectural landscape spatial environment as the research object, aiming to improve the comfort and aesthetics of the spatial environment by optimizing the design of the architectural landscape spatial environment, thereby achieving an improvement in people's quality of life. This article mainly applied experimental methods and algorithm comparison for analysis. Experimental data showed that the convergence, effectiveness, and flexibility of grid based collaborative optimization algorithms exceeded 90%, which had advantages in architectural landscape spatial environment design.