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Contraction-Based Heuristics to Improve the Efficiency of Algorithms Solving the Graph Colouring Problem.

, and . Recent Advances in Evolutionary Computation for Combinatorial Optimization, volume 153 of Studies in Computational Intelligence, Springer, (2008)

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Graph Colouring Heuristics Guided by Higher Order Graph Properties., and . EvoCOP, volume 4972 of Lecture Notes in Computer Science, page 97-109. Springer, (2008)The behaviour of the multi-layer perceptron and the support vector regression learning methods in the prediction of NO and NO2 concentrations in Szeged, Hungary., , and . Neural Comput. Appl., 18 (2): 193-205 (2009)Contraction-Based Heuristics to Improve the Efficiency of Algorithms Solving the Graph Colouring Problem., and . Recent Advances in Evolutionary Computation for Combinatorial Optimization, volume 153 of Studies in Computational Intelligence, Springer, (2008)Quotient and power methods for the graph colouring problem. University of Szeged, Hungary, (2010)Heuristic Colour Assignment Strategies for Merge Models in Graph Colouring., , and . EvoCOP, volume 3448 of Lecture Notes in Computer Science, page 132-143. Springer, (2005)Binary Merge Model Representation of the Graph Colouring Problem., , and . EvoCOP, volume 3004 of Lecture Notes in Computer Science, page 124-134. Springer, (2004)Increasing the Efficiency of Graph Colouring Algorithms with a Representation Based on Vector Operations., and . J. Softw., 1 (2): 24-33 (2006)Improving Graph Colouring Algorithms and Heuristics Using a Novel Representation., and . EvoCOP, volume 3906 of Lecture Notes in Computer Science, page 123-134. Springer, (2006)Forecasting of traffic origin NO and NO2 concentrations by Support Vector Machines and neural networks using Principal Component Analysis., , and . Simul. Model. Pract. Theory, 16 (9): 1488-1502 (2008)Intelligent Forecast with Dimension Reduction., and . WSC, volume 34 of Advances in Soft Computing, page 279-292. Springer, (2004)