| Title |
Genetic Algorithm Model and Simulation System for Zoning Allocation |
| Keywords |
Zoning ; Genetic Algorithm ; Simulation ; Planning Support System(PSS) ; |
| Abstract |
Though zoning is a fundamental tool for the implementation of land use planning, it still has unclear decision making process on zoning designation. Zoning once applied on site is hardly amendable. Therefore elaborated quantitative models and simulations under possible scenarios and conditions are needed before the decision. Land use models developed however have hardly been applied to real sites, because of their unflexible nature and uneasy programming. No systems has been introduced for the visual simulation. Thus, powerful and user-friendly system is required. For these ends, Genetic Algorithm(GA) is introduced as a decision model. The GA model integrates scenario building and visualization tools to be a ‘planing support systems(PSS)’, which allows a user to set the sample areas, change their attributes and model parameters through the interfaces constructed by Delphi 5.0. Through the application to Ulsan City, ‘GaSim’ we developed was proved to carry out simulation effectively under various scenarios and find reasonable solutions easily. |