An Innovative Genetic Algorithm for Spatial Zoning Optimization

EasyChair Preprint 3979

Abstract

Spatial zoning problem is an optimization problem in which the goal is to find the location and shape of spatial zones, given some constraints (e.g., surface, distance, shape, etc.) while maximizing or minimizing an objective function, defined on spatial or geographical data. The spatial zoning problem can be found in various domains such as hydrographic survey planning (i.e., determining a zone of a given area to make a hydrographic survey, while focusing on high priority areas), conservation planning (i.e., determining a zone of a fixed area to protect the fauna or flora), military planning, etc. Finding an optimal solution to the spatial zoning problem is challenging. In this paper, we develop an innovative Genetic Algorithm (GA) to solve the spatial zoning problem.

Keyphrases: Genetic Algorithm, Hydrographic survey planning, Marine Spatial Planning, Spatial zoning, optimization problem, spatial zoning problem

@booklet{EasyChair:3979,
  author    = {Son Duy Dao and Antoine Mallégol and Patrick Meyer and Mehrdad Mohammadi and Sophie Loyer},
  title     = {An Innovative Genetic Algorithm for Spatial Zoning Optimization},
  howpublished = {EasyChair Preprint 3979},
  year      = {EasyChair, 2020}}