The design of conventional architectural landscapes often has issues with inadequate direct visual effects and inadequate levels of resident satisfaction, but the design of green architectural landscapes typically does not have these issues. Creating room for landscaping is likewise an impractical endeavor. Because of this, the authors of this study suggest a number of different Path-finding algorithms for green building landscape space and environmental optimization design. A variety of path-finding algorithms may be used to maximize the multi-objective scale of the architectural landscape. The expense of the construction as well as public utilities such as the space environment are included among the optimization's goals and objectives. The findings indicate that the many pathfinding solutions that were presented are able to optimize the architectural landscape setting, and the occupants' level of happiness has increased as a consequence.

The design of conventional architectural landscapes often has issues with inadequate direct visual effects and inadequate levels of resident satisfaction, but the design of green architectural landscapes typically does not have these issues. Creating room for landscaping is likewise an impractical endeavor. Because of this, the authors of this study suggest a number of different Path-finding algorithms for green building landscape space and environmental optimization design. A variety of path-finding algorithms may be used to maximize the multi-objective scale of the architectural landscape. The expense of the construction as well as public utilities such as the space environment are included among the optimization's goals and objectives. The findings indicate that the many pathfinding solutions that were presented are able to optimize the architectural landscape setting, and the occupants' level of happiness has increased as a consequence.

The design of conventional architectural landscapes often has issues with inadequate direct visual effects and inadequate levels of resident satisfaction, but the design of green architectural landscapes typically does not have these issues. Creating room for landscaping is likewise an impractical endeavor. Because of this, the authors of this study suggest a number of different Path-finding algorithms for green building landscape space and environmental optimization design. A variety of path-finding algorithms may be used to maximize the multi-objective scale of the architectural landscape. The expense of the construction as well as public utilities such as the space environment are included among the optimization's goals and objectives. The findings indicate that the many pathfinding solutions that were presented are able to optimize the architectural landscape setting, and the occupants' level of happiness has increased as a consequence.