%0 Journal Article %1 IJACSA.2010.010411 %A P.M Chaudhari Dr. R.V. Dharaskar, Dr. V M Thakare %D 2010 %J International Journal of Advanced Computer Science and Applications(IJACSA) %K Clustering front techniques,Multiobjective,Pareto %N 4 %T Computing the Most Significant Solution from Pareto Front obtained in Multi-objective Evolutionary %U http://ijacsa.thesai.org/ %V 1 %X Problems with multiple objectives can be solved by using Pareto optimization techniques in evolutionary multi-objective optimization algorithms. Many applications involve multiple objective functions and the Pareto front may contain a very large number of points. Selecting a solution from such a large set is potentially intractable for a decision maker. Previous approaches to this problem aimed to find a representative subset of the solution set. Clustering techniques can be used to organize and classify the solutions. Implementation of this methodology for various applications and in a decision support system is also discussed.

@article{IJACSA.2010.010411, abstract = {Problems with multiple objectives can be solved by using Pareto optimization techniques in evolutionary multi-objective optimization algorithms. Many applications involve multiple objective functions and the Pareto front may contain a very large number of points. Selecting a solution from such a large set is potentially intractable for a decision maker. Previous approaches to this problem aimed to find a representative subset of the solution set. Clustering techniques can be used to organize and classify the solutions. Implementation of this methodology for various applications and in a decision support system is also discussed.}, added-at = {2014-02-21T08:00:08.000+0100}, author = {{P.M Chaudhari Dr. R.V. Dharaskar}, Dr. V M Thakare}, biburl = {https://www.bibsonomy.org/bibtex/22b7339510f37c58f2b48862949c9af62/thesaiorg}, interhash = {7149085e7aed3bce48d12d5954282c0f}, intrahash = {2b7339510f37c58f2b48862949c9af62}, journal = {International Journal of Advanced Computer Science and Applications(IJACSA)}, keywords = {Clustering front techniques,Multiobjective,Pareto}, number = 4, timestamp = {2014-02-21T08:00:08.000+0100}, title = {{Computing the Most Significant Solution from Pareto Front obtained in Multi-objective Evolutionary}}, url = {http://ijacsa.thesai.org/}, volume = 1, year = 2010 }