The problem of placing labels on maps has been around for about twenty years and has proven to be a diÆcult one. A variety of methods has been proposed to generate good labelings, with a wide range of results. This paper will propose a stochastic approach using Genetic Algorithms to solve the problem of placing labels for point features. This method generates high quality labelings and is robust in the sense that it is built to be extendible to other problem instances (involving point features) without dramatic changes of the algorith
AbstractSelecting a good representation of a solution-space is vital to solving any search and optim...
The map labeling problem is a classical problem of cartography. There is a theoretically optimal app...
Genetic algorithms (GAs) are powerful combinatorial optimizers that are able to find close-to-optima...
Map labeling is the cartographic problem of placing the names of features (for example cities or riv...
Some apparently powerful algorithms for automatic label placement on maps use heuristics that captur...
Map labeling of point features is the problem of placing text labels to corresponding point features...
Map labeling of point features is the problem of placing text labels to corresponding point features...
Label placement is a difficult problem in automated map production. Many methods have been proposed ...
Map labeling of point-feature is the problem of placing text labels to corresponding point features ...
Placing map symbols in a way so that the resulting map looks well is a major problem in cartography....
We study the scalability and efficiency of a GA that we developed earlier to solve the practical car...
We present a multi-objective evolutionary algorithm approach to the map-labelling problem. Map-label...
This paper concerns the use of genetic algorithms for line labelling. We are interested in finding a...
AbstractThe map labeling problem is a classical problem of cartography. There is a theoretically opt...
Automatic multiple geographical feature label placement (MGFLP) is a combinatorial optimization prob...
AbstractSelecting a good representation of a solution-space is vital to solving any search and optim...
The map labeling problem is a classical problem of cartography. There is a theoretically optimal app...
Genetic algorithms (GAs) are powerful combinatorial optimizers that are able to find close-to-optima...
Map labeling is the cartographic problem of placing the names of features (for example cities or riv...
Some apparently powerful algorithms for automatic label placement on maps use heuristics that captur...
Map labeling of point features is the problem of placing text labels to corresponding point features...
Map labeling of point features is the problem of placing text labels to corresponding point features...
Label placement is a difficult problem in automated map production. Many methods have been proposed ...
Map labeling of point-feature is the problem of placing text labels to corresponding point features ...
Placing map symbols in a way so that the resulting map looks well is a major problem in cartography....
We study the scalability and efficiency of a GA that we developed earlier to solve the practical car...
We present a multi-objective evolutionary algorithm approach to the map-labelling problem. Map-label...
This paper concerns the use of genetic algorithms for line labelling. We are interested in finding a...
AbstractThe map labeling problem is a classical problem of cartography. There is a theoretically opt...
Automatic multiple geographical feature label placement (MGFLP) is a combinatorial optimization prob...
AbstractSelecting a good representation of a solution-space is vital to solving any search and optim...
The map labeling problem is a classical problem of cartography. There is a theoretically optimal app...
Genetic algorithms (GAs) are powerful combinatorial optimizers that are able to find close-to-optima...