DocumentCode :
3725325
Title :
Rank Aggregation using Multi Objective Genetic Algorithm
Author :
Manjeet Kaur;Parneet Kaur;Manpreet Singh
Author_Institution :
CSE Department, ACE and AR, Devsthali, Ambala, Haryana, India
fYear :
2015
Firstpage :
836
Lastpage :
840
Abstract :
Rank Aggregation is needed to combine many different rank orderings on the same set of alternatives, or candidates, in order to obtain a better ordering. The aim of this field is to somehow merge a number of ranked lists in order to build a single superior ranked list. Various methods exist for dealing with the problem of Rank Aggregation problem. In this paper, Rank Aggregation is implemented using Genetic Approach. Multiple objectives have been achieved using genetic approach. So, this approach is called Multi-Objective Genetic Algorithm. The results of the genetic Approach are compared with that of Stuart method and Mean Method. From the experiments, It is concluded that Performance of GA lies between the Sturat and Mean method. In most cases, Stuart method gives better results than GA and GA gives better results than Mean method.
Keywords :
"Genetic algorithms","Genetics","Engines","Search problems","Sociology","Statistics","Metasearch"
Publisher :
ieee
Conference_Titel :
Next Generation Computing Technologies (NGCT), 2015 1st International Conference on
Type :
conf
DOI :
10.1109/NGCT.2015.7375237
Filename :
7375237
Link To Document :
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