A Multi-Objective Permanent Basic Farmland Delineation Model Based on Hybrid Particle Swarm Optimization
A Multi-Objective Permanent Basic Farmland Delineation Model Based on Hybrid Particle Swarm Optimization
复制标题
基于混合粒子群优化的多目标永久基本农田圈定模型
DOI：
10.3390/ijgi9040243
复制
发表时间：
2020-04-01
影响因子：
3.4
通讯作者：
Nie, Ke
中科院分区：
文献类型：
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作者：
Wang, Hua;Li, Wenwen;Nie, Ke
永久基本农田划定本质上是一个多目标优化问题。传统的划定方法无法同时兼顾耕地质量要求和永久基本农田空间布局，无法平衡农业与城市发展的关系。提出一种基于免疫粒子群优化算法的多目标永久基本农田划定模型。模型明确了永久基本农田划定的一般规则，正式表述了划定目标和约束条件。该模型引入了免疫系统概念来补充现有理论。本文详细介绍了算法的编码和初始化方法、粒子位置和速度的更新机制以及适应度函数的设计。选择河南省浔县作为研究区域，针对不同目标设置控制实验，比较粒子群优化（PSO）、人工免疫算法（AIA）和改进的AIA-PSO三种模型在解决多目标问题时的性能。实验证明了该模型的可行性。避免了主观因素的不利影响，促进了永久基本农田划定结果的科学合理性。
The delimitation of permanent basic farmland is essentially a multi-objective optimization problem. The traditional demarcation methods cannot simultaneously take into account the requirements of cultivated land quality and the spatial layout of permanent basic farmland, and it cannot balance the relationship between agriculture and urban development. This paper proposed a multi-objective permanent basic farmland delimitation model based on an immune particle swarm optimization algorithm. The general rules for delineating the permanent basic farmland were defined in the model, and the delineation goals and constraints have been formally expressed. The model introduced the immune system concepts to complement the existing theory. This paper describes the coding and initialization methods for the algorithm, particle position and speed update mechanism, and fitness function design. We selected Xun County, Henan Province, as the research area and set up control experiments that aligned with the different targets and compared the performance of the three models of particle swarm optimization (PSO), artificial immune algorithm (AIA), and the improved AIA-PSO in solving multi-objective problems. The experiments proved the feasibility of the model. It avoided the adverse effects of subjective factors and promoted the scientific rationality of the results of permanent basic farmland delineation.