Variations on memetic algorithms for graph coloring problems
Graph vertex coloring with a given number of colors is a well-known and much-studied NP-complete problem. The most effective methods to solve this problem are proved to be hybrid algorithms such as memetic algorithms or quantum annealing. Those hybrid algorithms use a powerful local search inside a...
Uložené v:
| Vydané v: | Journal of heuristics Ročník 24; číslo 1; s. 1 - 24 |
|---|---|
| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
New York
Springer US
01.02.2018
Springer Nature B.V Springer Verlag |
| Predmet: | |
| ISSN: | 1381-1231, 1572-9397 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Shrnutí: | Graph vertex coloring with a given number of colors is a well-known and much-studied NP-complete problem. The most effective methods to solve this problem are proved to be hybrid algorithms such as memetic algorithms or quantum annealing. Those hybrid algorithms use a powerful local search inside a population-based algorithm. This paper presents a new memetic algorithm based on one of the most effective algorithms: the hybrid evolutionary algorithm (
HEA
) from Galinier and Hao (J Comb Optim 3(4): 379–397,
1999
). The proposed algorithm, denoted
HEAD
—for
HEA
in Duet—works with a population of only two individuals. Moreover, a new way of managing diversity is brought by
HEAD
. These two main differences greatly improve the results, both in terms of solution quality and computational time.
HEAD
has produced several good results for the popular DIMACS benchmark graphs, such as 222-colorings for
<
dsjc
1000.9
>
, 81-colorings for
<
flat
1000
_
76
_
0
>
and even 47-colorings for
<
dsjc
500.5
>
and 82-colorings for
<
dsjc
1000.5
>
. |
|---|---|
| Bibliografia: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 1381-1231 1572-9397 |
| DOI: | 10.1007/s10732-017-9354-9 |