Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Memetic firefly algorithm for combinatorial optimization   Firefly algorithms belong to modern meta-heuristic algorithms inspired by
nature that can be successfully applied to continuous optimization problems. In
this paper, we have been applied the firefly algorithm, hybridized with local
search heuristic, to combinatorial optimization problems, where we use graph
3-coloring problems as test benchmarks. The results of the proposed memetic
firefly algorithm (MFFA) were compared with the results of the Hybrid
Evolutionary Algorithm (HEA), Tabucol, and the evolutionary algorithm with SAW
method (EA-SAW) by coloring the suite of medium-scaled random graphs (graphs
with 500 vertices) generated using the Culberson random graph generator. The
results of firefly algorithm were very promising and showed a potential that
this algorithm could successfully be applied in near future to the other
combinatorial optimization problems as well.

4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
1
The categories of this paper are: cs
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
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The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an