A New Efficient RLF-Like Algorithm for the Vertex Coloring Problem
Yugoslav journal of operations research, Tome 26 (2016) no. 4, p. 441
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The Recursive Largest First (RLF) algorithm is one of the most popular
greedy heuristics for the vertex coloring problem. It sequentially builds color
classes on the basis of greedy choices. In particular, the first vertex placed in a
color classC is one with a maximumnumber of uncolored neighbors, and the next
vertices placed in C are chosen so that they have as many uncolored neighbors
which cannot be placed in C. These greedy choices can have a significant impact
on the performance of the algorithm, which explains why we propose alternative
selection rules. Computational experiments on 63 difficult DIMACS instances
show that the resulting new RLF-like algorithm, when compared with the stan-
dard RLF, allows to obtain a reduction of more than 50% of the gap between the
number of colors used and the best known upper bound on the chromatic num-
ber. The new greedy algorithm even competes with basic metaheuristics for the
vertex coloring problem.
Classification :
05C15, 05C85
Keywords: Graph coloring, Greedy algorithm
Keywords: Graph coloring, Greedy algorithm
@article{YJOR_2016_26_4_a2,
author = {Mourchid Adegbindin and Alain Hertz and Martine Bella{\"\i}Che},
title = {A {New} {Efficient} {RLF-Like} {Algorithm} for the {Vertex} {Coloring} {Problem}},
journal = {Yugoslav journal of operations research},
pages = {441 },
year = {2016},
volume = {26},
number = {4},
language = {en},
url = {http://geodesic.mathdoc.fr/item/YJOR_2016_26_4_a2/}
}
TY - JOUR AU - Mourchid Adegbindin AU - Alain Hertz AU - Martine BellaïChe TI - A New Efficient RLF-Like Algorithm for the Vertex Coloring Problem JO - Yugoslav journal of operations research PY - 2016 SP - 441 VL - 26 IS - 4 UR - http://geodesic.mathdoc.fr/item/YJOR_2016_26_4_a2/ LA - en ID - YJOR_2016_26_4_a2 ER -
Mourchid Adegbindin; Alain Hertz; Martine BellaïChe. A New Efficient RLF-Like Algorithm for the Vertex Coloring Problem. Yugoslav journal of operations research, Tome 26 (2016) no. 4, p. 441 . http://geodesic.mathdoc.fr/item/YJOR_2016_26_4_a2/