Evolutionary Multi-objective Optimization for landscape system design

被引：19
|
作者：
Roberts, S. A. [1 ]
Hall, G. B. [2 ]
Calamai, P. H. [3 ]
机构：
[1] Wilfrid Laurier Univ, Dept Geog & Environm Studies, Waterloo, ON N2L 3C5, Canada
[2] Univ Otago, Sch Surveying, Dunedin, New Zealand
[3] Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada
来源：
JOURNAL OF GEOGRAPHICAL SYSTEMS | 2011年 / 13卷 / 03期
关键词：
Evolutionary Multi-objective Optimization; Landscape design; SPATIAL OPTIMIZATION; GENETIC ALGORITHMS; SUPPORT; GIS;
D O I：
10.1007/s10109-010-0136-2
中图分类号：
P9 [自然地理学]; K9 [地理];
学科分类号：
0705 ; 070501 ;
摘要：
Increasing recognition of the extent and speed of habitat fragmentation and loss, particularly in the urban fringe, is driving the need to analyze qualitatively and quantitatively regional landscape structures in land-use planning and environmental policy implementation. This paper introduces an Evolutionary Multi-objective Optimization (EMO) methodology to estimate the Pareto optimal set of landscape designs generated from a series of underlying ecological principles. The results of applying these principles via EMO to a study site are presented and a hierarchical clustering methodology is introduced to assist in evaluating the population of solutions generated.
引用
收藏
页码：299 / 326
页数：28
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