TY  - CONF
T1  - Graph Colouring Heuristics Guided by Higher Order Graph Properties
T2  - Lecture Notes in Computer Science
Y1  - 2008
A1  - Juhos, Istv\'{a}n
A1  - van Hemert, Jano
ED  - van Hemert, Jano
ED  - Cotta, Carlos
KW  - evolutionary computation
KW  - graph colouring
AB  - Graph vertex colouring can be defined in such a way where colour assignments are substituted by vertex contractions. We present various hyper-graph representations for the graph colouring problem all based on the approach where vertices are merged into groups. In this paper, we show this provides a uniform and compact way to define algorithms, both of a complete or a heuristic nature. Moreover, the representation provides information useful to guide algorithms during their search. In this paper we focus on the quality of solutions obtained by graph colouring heuristics that make use of higher order properties derived during the search. An evolutionary algorithm is used to search permutations of possible merge orderings.
JF  - Lecture Notes in Computer Science
PB  - Springer
VL  - 4972
ER  -