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Research Article | Open Access |

Computing the Most Significant Solution from Pareto Front obtained in Multi-objective Evolutionary

Author 1: P.M Chaudhari Author 2: Dr. R.V. Dharaskar Author 3: Dr. V. M. Thakare
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 1, No. 4 · Published 2010 · Cited by 53

DOI: 10.14569/IJACSA.2010.010411

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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.

Keywords

Multiobjective Pareto front Clustering techniques

How to Cite this Article

Chaudhari, P., Dharaskar, D. R., & Thakare, D. V. M. (2010). Computing the Most Significant Solution from Pareto Front obtained in Multi-objective Evolutionary. International Journal of Advanced Computer Science and Applications, 1(4). https://doi.org/10.14569/IJACSA.2010.010411

Chaudhari, P.M, et al.. "Computing the Most Significant Solution from Pareto Front obtained in Multi-objective Evolutionary." International Journal of Advanced Computer Science and Applications, vol. 1, no. 4, 2010, https://doi.org/10.14569/IJACSA.2010.010411.

@article{Chaudhari2010,
  title     = {Computing the Most Significant Solution from Pareto Front obtained in Multi-objective Evolutionary},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {1},
  number    = {4},
  year      = {2010},
  publisher = {The Science and Information Organization},
  author    = {P.M Chaudhari and Dr. R.V. Dharaskar and Dr. V. M. Thakare},
  doi       = {10.14569/IJACSA.2010.010411},
  url       = {https://doi.org/10.14569/IJACSA.2010.010411}
}

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Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
Review Notification November 15, 2026
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