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- W2110348081 abstract "This paper introduces a genetic algorithm (GA) for tagging point features on images with text labels. The goal is to place all labels in a way that minimizes overlaps and simultaneously consider predefined position preferences. The proposed GA includes several problem dependent improvements: First, a preprocessing step reduces the search space in a safe way. Second, the starting population of the GA is generated in a heuristic way, which enables a faster convergence but nevertheless ensures the presence of enough diversity. Third, each newly generated solution is locally improved before its evaluation. The proposed GA is empirically compared to a very efficient simulated annealing approach using several randomly gener-" @default.
- W2110348081 created "2016-06-24" @default.
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- W2110348081 date "2003-01-01" @default.
- W2110348081 modified "2023-09-27" @default.
- W2110348081 title "A Genetic Algorithm for Labeling Point Features" @default.
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