Spatial multi-objective land use optimization: extensions to the non-dominated sorting genetic algorithm-II

• المؤلفون الرئيسيون: CAO, Kai, BATTY, Michael, HUANG, Bo, LIU, Yan, YU, Le, CHEN, Jiongfeng
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2011
• الموضوعات: spatial land use optimization; NSGA-II-MOLU; planning support systems; land use planning; multi-objective optimization; Tongzhou New Town; China; Databases and Information Systems; Theory and Algorithms
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/5411; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6414&context=sis_research
• المؤسسة: Singapore Management University

A spatial multi-objective land use optimization model defined by the acronym 'NSGA-II-MOLU' or the 'non-dominated sorting genetic algorithm-II for multi-objective optimization of land use' is proposed for searching for optimal land use scenarios which embrace multiple objectives...