Application of Multi-criteria Decision-Making Methods to Select Multi-objective Optimization Based Pareto-Optimal Solutions

Author:

Patil Puja Yuvaraj,Das Sujit

Publisher

Springer Nature Switzerland

Reference11 articles.

1. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.A.M.T.: A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 9(2), 182–197 (2002)

2. Li, Y., Liao, S., Liu, G.: Thermo-economic multi-objective optimization for a solar-dish Brayton system using NSGA-II and decision making. Int. J. Electr. Power Energy Syst. 64, 17–175 (2015)

3. Marler, R.T., Arora, J.S.: The weighted sum method for multi-objective optimization: new insights. Struct. Multidiscip. Optim. 41, 853–82 (2010)

4. Rao, C.M., Venkatasubbaiah, K.: Application of WSM, WPM and TOPSIS methods for the optimization of multiple responses. Int. J. Hybrid Inf. Technol. 9(10), 59–72 (2016)

5. Schaffer, J.D.: Multiple objective optimization with vector evaluated genetic algorithms. In: Proceedings of the First International Conference on Genetic Algorithms and Their Applications, pp. 93–100. Psychology Press (2014)

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