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Applying Local Optimization Algorithms in Clustering Combination with Diversity Maximization

by Z. Faizal Khan, Mohammed Khaleel Anwar
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 8
Year of Publication: 2016
Authors: Z. Faizal Khan, Mohammed Khaleel Anwar

Z. Faizal Khan, Mohammed Khaleel Anwar . Applying Local Optimization Algorithms in Clustering Combination with Diversity Maximization. Communications on Applied Electronics. 4, 8 ( April 2016), 50-54. DOI=10.5120/cae2016652160

@article{ 10.5120/cae2016652160,
author = { Z. Faizal Khan, Mohammed Khaleel Anwar },
title = { Applying Local Optimization Algorithms in Clustering Combination with Diversity Maximization },
journal = { Communications on Applied Electronics },
issue_date = { April 2016 },
volume = { 4 },
number = { 8 },
month = { April },
year = { 2016 },
issn = { 2394-4714 },
pages = { 50-54 },
numpages = {9},
url = { },
doi = { 10.5120/cae2016652160 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-09-04T19:53:49.343170+05:30
%A Z. Faizal Khan
%A Mohammed Khaleel Anwar
%T Applying Local Optimization Algorithms in Clustering Combination with Diversity Maximization
%J Communications on Applied Electronics
%@ 2394-4714
%V 4
%N 8
%P 50-54
%D 2016
%I Foundation of Computer Science (FCS), NY, USA

Automated searching needs is an effective key for the development of cryptography algorithms. The retrieval of encrypted contents from a huge set of distributed databases leads to complexity in the grid computing environment. This paper is based on a search of some set of keywords in grid computing environment. Most of the key based cryptography algorithms developed by earlier researchers are more effective but each and every algorithm has its own disadvantages. Majorly, there arises a huge need to direct the data contents to Grid computing system in the form of cryptic. No algorithm in an intelligible advanced form has been available to the researchers. Complexity and computational complexity present in these algorithms make the retrieval task more inefficient. In order to overcome these drawbacks, we proposed a novel fuzzy based optimization technique in the Grid computing environment based on an encrypted text along with Fuzzy rules. We obtained a satisfactory result in keyword search using this novel method. The result obtained was most effective and the retrieval time is very much reduced in the Grid computing environment.

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Index Terms

Computer Science
Information Sciences


Cryptography algorithms computational complexity scheduling Grid Computing Environment Fuzzy logic peer to peer search system.