山东农业大学学报（自然科学版）2017，Vol.48Issue(2)：215-218,4.DOI:10.3969/j.issn.1000-2324.2017.02.010
基于人群搜索算法的低碳目标约束下土地结构优化
The Optimization for Land Structure with the Low Carbon Target Constraint Based on Seeker Optimization Algorithm
张哲1
作者信息
- 1. 西北大学城市与环境学院,陕西西安710127
- 折叠
摘要
Abstract
To realize the optimization for land use structure with a low carbon constraint,this paper combined with different types of land use coefficient of carbon emissions and density to maximize carbon storage and carbon emissions minimization as the objective function to establish the mathematical model of land use structure optimization with constraint to use the fast searching ability of Seeker Optimization Algorithm (SOP) to solve the optimization model of land use structure.The experimental results showed that the carbon storage was much higher than the planning scheme,carbon emissions reduced 1 thousand and 410 tons,compared with DE,PSO and GA method,the SOA algorithm had faster convergence speed and optimal solution.关键词
人群搜索算法/土地结构优化/低碳约束Key words
Seeker Optimization Algorithm/land structure optimization/low carbon constraint分类
信息技术与安全科学引用本文复制引用
张哲..基于人群搜索算法的低碳目标约束下土地结构优化[J].山东农业大学学报（自然科学版）,2017,48(2):215-218,4.
