Experimental Comparison Between Evolutionary Algorithm and Barycenter Heuristic for the Bipartite Drawing Problem
DOI : 10.3844/jcssp.2007.717.722
Journal of Computer Science
Volume 3, Issue 9
This research investigates the use of intelligent techniques for the bipartite drawing problem (BDP). Due to the combinatorial nature of the solution space, the use of traditional search methods lead to exponential time. Hence, the aim of this paper is to speed up the search time when solving the BDP through the use of Evolutionary Algorithms (EAs) and Barycenter Heuristic (BC). EA is applied on the BDP wherein genetic operators such as crossover and mutation are employed while searching for the best possible solution. The results show that the EA approach guides the search towards optimal solutions and in many instances it outperforms the BC.
© 2007 Zoheir Ezziane. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.