Authors
Abstract
Swarm-based algorithms such as Bees Algorithm BA have proven to be very
powerful computational techniques due to their search capabilities. Other methods
which are useful in diverse application areas are simulated annealing, evolution
strategies etc. The searching ability of these algorithms can be improved by properly
blending their characteristic features. In this paper an attempt is made to intermix the
search properties of BA and SA, in order to develop a hybrid algorithm which is
equally applicable and has a better searching ability and power to reach a near optimal
solution. This leads to the development of a fast method to solve complicated types of
optimization and NP-complete problems.
)
