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Reseach Article

Post Pareto Analysis in Multi-objective Optimization

Published on December 2013 by P. M. Chaudhari, R. V. Dharaskar, V. M. Thakare
National Conference on Innovative Paradigms in Engineering & Technology 2013
Foundation of Computer Science USA
NCIPET2013 - Number 4
December 2013
Authors: P. M. Chaudhari, R. V. Dharaskar, V. M. Thakare
632dc817-ead4-4307-80c7-b677e9936533

P. M. Chaudhari, R. V. Dharaskar, V. M. Thakare . Post Pareto Analysis in Multi-objective Optimization. National Conference on Innovative Paradigms in Engineering & Technology 2013. NCIPET2013, 4 (December 2013), 15-18.

@article{
author = { P. M. Chaudhari, R. V. Dharaskar, V. M. Thakare },
title = { Post Pareto Analysis in Multi-objective Optimization },
journal = { National Conference on Innovative Paradigms in Engineering & Technology 2013 },
issue_date = { December 2013 },
volume = { NCIPET2013 },
number = { 4 },
month = { December },
year = { 2013 },
issn = 0975-8887,
pages = { 15-18 },
numpages = 4,
url = { /proceedings/ncipet2013/number4/14719-1355/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Innovative Paradigms in Engineering & Technology 2013
%A P. M. Chaudhari
%A R. V. Dharaskar
%A V. M. Thakare
%T Post Pareto Analysis in Multi-objective Optimization
%J National Conference on Innovative Paradigms in Engineering & Technology 2013
%@ 0975-8887
%V NCIPET2013
%N 4
%P 15-18
%D 2013
%I International Journal of Computer Applications
Abstract

The proposed methodology is based on efficient clustering technique for facilitating the decision-maker in the analysis of the solutions of multi-objective problems . Choosing a solution for system implementation from the Pareto-optimal set can be a difficult task, generally because Pareto-optimal sets can be extremely large or even contain an infinite number of solutions. The proposed technique provides the decision-maker a smaller set of optimal tradeoffs.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Multi-objective Problems Pareto-optimal Sets Clustering Technique