Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Performance Enhancement of Distributed Quasi Steady-State Genetic
  Algorithm   This paper proposes a new scheme for performance enhancement of distributed
genetic algorithm (DGA). Initial population is divided in two classes i.e.
female and male. Simple distance based clustering is used for cluster formation
around females. For reclustering self-adaptive K-means is used, which produces
well distributed and well separated clusters. The self-adaptive K-means used
for reclustering automatically locates initial position of centroids and number
of clusters. Four plans of co-evolution are applied on these clusters
independently. Clusters evolve separately. Merging of clusters takes place
depending on their performance. For experimentation unimodal and multimodal
test functions have been used. Test result show that the new scheme of
distribution of population has given better performance.

37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
13
The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
16
The categories of this paper are: stat
23
The categories of this paper are: solv-int
2
The categories of this paper are: math
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex