Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Memetic Elitist Pareto Evolutionary Algorithm for Virtual Network
  Embedding   Assigning virtual network resources to physical network components, called
Virtual Network Embedding, is a major challenge in cloud computing platforms.
In this paper, we propose a memetic elitist pareto evolutionary algorithm for
virtual network embedding problem, which is called MEPE-VNE. MEPE-VNE applies a
non-dominated sorting-based multi-objective evolutionary algorithm, called
NSGA-II, to reduce computational complexity of constructing a hierarchy of
non-dominated Pareto fronts and assign a rank value to each virtual network
embedding solution based on its dominance level and crowding distance value.
Local search is applied to enhance virtual network embedding solutions and
speed up convergence of the proposed algorithm. To reduce loss of good
solutions, MEPE-VNE ensures elitism by passing virtual network embedding
solutions with best fitness values to next generation. Performance of the
proposed algorithm is evaluated and compared with existing algorithms using
extensive simulations, which show that the proposed algorithm improves virtual
network embedding by increasing acceptance ratio and revenue while decreasing
the cost incurred by substrate network.

22
The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin
20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph
11
The categories of this paper are: hep-lat
7
The categories of this paper are: hep-th
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
24
The categories of this paper are: dg-ga