太阳成8722(中国)有限公司-GREEN NO.1

标题：Regional land-use allocation with a spatially explicit genetic algorithm作者：Liu, Yaolin; Yuan, Man; He, Jianhua; Liu, Yanfang

来源出版物：LANDSCAPE AND ECOLOGICAL ENGINEERING 卷：11 期：1 页：209-219 DOI：10.1007/s11355-014-0267-6 出版年：JAN 2015

摘要：Land-use allocation is an important way to promote the intensive and economic use of land resources and achieve the goal of sustainable development. It is a complex spatial optimization problem, and heuristic algorithms have been one of the most effective ways to solve it in past studies. However, heuristic algorithms lack the guidance of planning knowledge, which makes land-use patterns usually unreasonable in practice. This research proposes a spatially explicit genetic algorithm (SEGA) that integrates land-use planning knowledge with the genetic algorithm (GA). The SEGA transforms the spatially implicit computation mode of the GA into a spatially explicit optimization style, which helps to promote the effectiveness of regional land-use allocation. Gaoqiao Town, China, was selected as the study area to test the SEGA. Results show that: (1) land-use conversions are reasonable in accordance with planning knowledge, and they improve overall land-use suitability and spatial compactness; (2) compared with the GA, the SEGA is superior in achieving global objectives and simulating local dynamics. We demonstrated that planning knowledge is essential to heuristic algorithms for land-use allocation.

入藏号：WOS:000349005200020

文献类型：Article

语种：English

作者关键词：Land-use allocation, Heuristic optimization, Genetic algorithm, Planning knowledge

扩展关键词：PARTICLE SWARM OPTIMIZATION; CHINA; MODEL; AGRICULTURE; SUITABILITY; SIMULATION; COUNTY

通讯作者地址：Yuan, Man; Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址：yaolin610@163.com; yuanmanwhu@163.com; hjianh@126.com; yfliu610@163.com

地址：

[Liu, Yaolin; Yuan, Man; He, Jianhua; Liu, Yanfang]Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

研究方向：Biodiversity & Conservation; Environmental Sciences & Ecology

ISSN：1860-1871

eISSN:1860-188X