The Application of Genetic Algorithm in Land Use Optimization Research: A Review

Land use optimization (LUO) first considers which types of land should exist in a certain area, and secondly, how to allocate these specific grid units. As an intelligent global search algorithm, the Genetic Algorithm (GA) has been widely used this field. However, there are no comprehensive reviews concerning development process for application (GA-LUO). This article bibliometric analysis method explore current state trends GA-LUO from 1154 relevant documents published over past 25 years Web Science. We also displayed visualization network aspects core authors, research institutions, highly cited literature. The results show following: (1) countries that most articles United States China, Chinese Academy Sciences is institution publishes articles. (2) top 10 focused on describing build GA models multi-objective LUO. (3) According number keywords appear time each period, we divided into four stages: presentation improvement methods stage (1995–2004), (2005–2008), hybrid multiple (2009–2016), introduction latest (after 2017). Furthermore, future mainly manifested integrating together algorithms with deepening existing results. review could help researchers know domain well provide effective solutions problems ensure sustainable resources.