Code.rar

It is crucial to optimize the line-of-sight (LOS) service coverage in location optimization for facilities such as street lights and surveillance cameras, which provide services based on lights or electromagnetic waves that are sensitive to obstacle blockage issues in geospatial environments. Many approaches based on the maximal coverage location problem (MCLP) model have been developed to help optimize the effective service coverage of facilities. However, maximizing the LOS service coverage in continuous demand space for facility location, defined as LOS-MCLPs in this study, remains a challenge. Thus, we developed a service coverage optimization model to solve these LOS-MCLPs. The novelty of this model lies in the coupling of heuristic algorithm and computational geometry approach to optimize the effective LOS service coverage for facilities that are sensitive to obstacle blockage issues in geospatial environments.