OPTIMIZING SVM FOR IMAGE RANKING USING ENHANCED ABC
Keywords:
Artificial Bee Colony Algorithm, Image Ranking, SVM, Swarm based techniquesAbstract
It is saying that image is worthwhile 100 words. It is better way to explain anything
using image. Here in this paper I am proposing an enhanced swarm based optimization algorithm
to optimize image ranking procedure. I am using Support Vector Machine for image ranking
procedure. Swarm based technique works on intelligent group work of member of particular
swarm. There are many swarm based techniques are available now a days like ACO, PSO, ABC
etc. ABC is working on intelligent behavior of honey bee swarm. To remove some of limitation
of ABC algorithm here I hybridize ABC with Genetic algorithm. SVM is good classifier and by
optimization process of weight vector we can get better performance of it. In this paper, we
provide a thorough and extensive overview of most research work focusing on the application of
ABC, with the expectation that it would serve as a reference material to both old and new,
incoming researchers to the field, to support their understanding of current trends and assist their
future research prospects and directions. Also new proposed architecture of Enhanced ABC
algorithm, comparison between results of ABC and EABC for image ranking is also given here.
