GAVis system supporting visualization, analysis and solving combinatorial optimization problems using evolutionary algorithms

被引：0
|
作者：
Switalski, Piotr [1 ]
Seredynski, Franciszek [1 ,2 ,3 ]
Hertel, Przemyslaw [4 ]
机构：
[1] Univ Podlasie, Dept Comp Sci, Sienkiewicza 51, PL-08110 Siedlce, Poland
[2] Polish Japanese Inst Informat Technol, PL-02008 Warsaw, Poland
[3] Polish Acad Sci, Inst Comp Sci, PL-01237 Warsaw, Poland
[4] Warsaw Univ Technol, PL-00665 Warsaw, Poland
来源：
INTELLIGENT INFORMATION PROCESSING AND WEB MINING, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper presents the GAVis (Genetic Algorithm Visualization) System designed to support solving combinatorial optimization problems using evolutionary algorithms. One of the main features of the system is tracking complex dependencies between parameters of an implemented algorithm with use of visualization. The role of the system is shown by its application to solve two problems: multiprocessor scheduling problem and Travelling Salesman Problem (TSP).
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页码：75 / +
页数：2
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