基于改进粒子群算法的低碳型土地利用结构优化——以重庆市为例

Optimization of Low-carbon Land Use Structure Based on Improved Particle Swarm Optimization Algorithm: A Case Study in Chongqing Municipality

探讨了如何在低碳经济背景下进行区域土地利用结构优化,并以规划区域土地利用经济效益目标和各类土地碳排放总量作为环境效益目标建立了相应的优化数学模型;采用针对多目标优化的改进粒子群算法进行土地利用结构优化多目标求解,以重庆市土地利用结构优化为例进行了实证研究。结果表明:基于向量评价的改进粒子群优化算法对土地利用结构多目标优化是适用有效的,优化结果兼顾了经济效益和生态环境效益,为土地利用结构优化提供一种良好的思路和方法。

How to optimize land use structure in the background of low carbon economy is researched in this paper. The mathematical model is established with the GDP as the economic goal and the total carbon emissions as the environmental objective for an area. The improved particle swarm optimization based on vector appraisal for multi-objective optimization is put to use for solution of land use structure optimization. The land use structure optimization for Chongqing Municipality is taken as an example for the case study. Results prove the improved particle swarm optimization is feasible and effective for multi-objective land structure optimization, which considers both the economic and environmental efficiency. So it supplies a new method for land use structure optimization.