Paper Details

It is saying that image is worthwhile 100 words. It is better way to explain anythingusing image. Here in this paper I am proposing an enhanced swarm based optimization algorithmto optimize image ranking procedure. I am using Support Vector Machine for image rankingprocedure. Swarm based technique works on intelligent group work of member of particularswarm. There are many swarm based techniques are available now a days like ACO, PSO, ABCetc. ABC is working on intelligent behavior of honey bee swarm. To remove some of limitationof ABC algorithm here I hybridize ABC with Genetic algorithm. SVM is good classifier and byoptimization process of weight vector we can get better performance of it. In this paper, weprovide a thorough and extensive overview of most research work focusing on the application ofABC, 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 theirfuture research prospects and directions. Also new proposed architecture of Enhanced ABCalgorithm, comparison between results of ABC and EABC for image ranking is also given here.

NIDHI GONDALIA, NIRALI MANKAD, “OPTIMIZING SVM FOR IMAGE RANKING USING ENHANCED ABC”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 5, pp. 120-127, May 2014.