摘要
从土地资源优化配置的两大核心问题的基本特点和求解需求出发,提出了面向土地资源优化配置问题求解的多目标人工免疫优化模型框架;对智能决策支持系统的架构、算法扩展与应用扩展接口、优化模型的并行化策略等关键技术进行了设计;选取湖北省秭归县作为实验区,对系统的通用性与可扩展性进行了验证,并对优化模型的多目标寻优能力和并行性能进行了评估。
The purpose of this study is to develop a decision support system for solving land-use allocation optimization problems. After analyzing the characteristics of land-use allocation optimization problems, a framework for multi-objective artificial immune system model for land-use allocation optimization was proposed. Then, the architecture and a series of standard application programming interfaces （APIs） for the system are designed to meet the needs of users with different roles. Finally, the land-use allocation optimization problem of Zigui County in Hubei province of China is employed as a case study to evaluate the functionalities of the system and the performance of the optimization models.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2014年第2期166-171,共6页
Geomatics and Information Science of Wuhan University
基金
国家863计划资助项目(2011AA120304)
中国博士后科研基金资助项目(2012M511253)
中央高校基本科研业务费专项资金青年教师资助项目(121044)~~
关键词
土地利用规划
人工免疫系统
多目极优化
并行决策中图法
land-use planning
artificial immune system
multi-objective optimization
paraller decision support
