APPLICATION OF THE MULTI-OBJECTIVE PARETO-BASED GENETIC ALGORITHM IN SOLVING GEOSPATIAL OPTIMISATION PROBLEMS

被引：0
|
作者：
Ponjavic, Mirza [2 ]
Avdagic, Zikrija [1 ]
Karabegovic, Almir [2 ]
机构：
[1] Univ Sarajevo, Dept Comp Sci & Informat, Fac Elect Engn, Sarajevo 71000, Bosnia & Herceg
[2] Univ Sarajevo, Fac Civil Engn, Dept Geodesy, Sarajevo 71000, Bosnia & Herceg
来源：
SGEM 2009: 9TH INTERNATIONAL MULTIDISCIPLINARY SCIENTIFIC GEOCONFERENCE, VOL II, CONFERENCE PROCEEDING: MODERN MANAGEMENT OF MINE PRODUCING, GEOLOGY AND ENVIRONMENTAL PROTECTION | 2009年
关键词：
multi-objective genetic algorithm; geospatial analysis; geoinformation system; location-allocation problem;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This work studies the development and application of the multi-objective genetic algorithm based on the Pareto approach, as a tool for the decision making support in the geospatial analysis. Pareto-based evolutionary mechanism developed as an approach to multi-objective geospatial optimisation operates with fixed parameters of genetic operators. It can be used as efficient tool for multi-objective planning both for their power and flexibility and the fact that they generate a whole set of good solutions rather than just one "optimal" solution. The implementation of the suggested multi-objective Pareto based genetic algorithm over selected geospatial optimisation problem of fire station location demonstrates its ability of the discovery of multiple compromise solutions in a real spatial problem domain.
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页码：107 / +
页数：2
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