Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Improved Local Search in Artificial Bee Colony using Golden Section
  Search   Artificial bee colony (ABC), an optimization algorithm is a recent addition
to the family of population based search algorithm. ABC has taken its
inspiration from the collective intelligent foraging behavior of honey bees. In
this study we have incorporated golden section search mechanism in the
structure of basic ABC to improve the global convergence and prevent to stick
on a local solution. The proposed variant is termed as ILS-ABC. Comparative
numerical results with the state-of-art algorithms show the performance of the
proposal when applied to the set of unconstrained engineering design problems.
The simulated results show that the proposed variant can be successfully
applied to solve real life problems.

20
The categories of this paper are: acc-phys
5
The categories of this paper are: gr-qc
25
The categories of this paper are: patt-sol
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
21
The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas
24
The categories of this paper are: dg-ga
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an