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.

引用

页码：107 / +

页数：2

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