Various island-based parallel genetic algorithms for the 2-page drawing problem
PDCN'06 Proceedings of the 24th IASTED international conference on Parallel and distributed computing and networks
Genetic algorithms for the 2-page book drawing problem of graphs
Journal of Heuristics
Parallelisation of genetic algorithms for the 2-page crossing number problem
Journal of Parallel and Distributed Computing
Hierarchically organized layout for visualization of biochemical pathways
Artificial Intelligence in Medicine
A hybrid genetic algorithm for automatic graph drawing based on the topology-shape-metric approach.
Proceedings of the 12th annual conference on Genetic and evolutionary computation
A multiobjective genetic algorithm for automatic orthogonal graph drawing
Proceedings of the 13th annual conference on Genetic and evolutionary computation
| Hi-index | 0.00 |
In this work, we report on our experiences with applying genetic algorithms to the graph-drawing problem. The automatic generation of drawings of graphs has important applications in key computer technologies. We are interested here in producing aesthetically pleasing two-dimensional pictures of undirected graphs drawn with straight edges. To do so we use a hybrid process, applying concepts inspired by the force-directed placement technique with several aesthetic criteria, which are to be minimized together. The optimization algorithm used is the genetic algorithm.