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TOPSIS is a multi-level system that simultaneously reduces the distance from an optimal point to the knot. Solutions from a set of alternatives defined in terms of increasing the distance from the point. Comparative weights of TOPSIS criterion importance can be linked. Compares the results of different weights used. TOPSIS had high quality changes in the rate. Despite the many criteria, TOPSIS is very different from simple composite weight results, this article reviews many applications of TOPSIS using different weight schemes and different distance measurements, as well as a set of previously used multi-dimensional data. With multiple weights. In this paper we used the method of selecting the items in the tops. Replace S Glass-Epoxy FRP, E Glass-Epoxy FRP, Carbon-Epoxy FRP, Kevlar 29-Epoxy FRP, Kevlar 49-Epoxy FRP, Boron-Epoxy FRP. We have taken the fatigue limit; Fracture stiffness, piece strength, price / mass are the evaluation parameters.
Marler, R. Timothy, and Jasbir S. Arora. “Survey of multi-objective optimization methods for engineering.” Structural and multidisciplinary optimization26, no. 6 (2004): 369-395.
Konak, Abdullah, David W. Coit, and Alice E. Smith. “Multi-objective optimization using genetic algorithms: A tutorial.” Reliability engineering & system safety91, no. 9 (2006): 992-1007.
Gunantara, Nyoman. “A review of multi-objective optimization: Methods and its applications.” Cogent Engineering5, no. 1 (2018): 1502242.
Branke, Jürgen, Kalyanmoy Deb, Henning Dierolf, and Matthias Osswald. “Finding knees in multi-objective optimization.” In International conference on parallel problem solving from nature, pp. 722-731. Springer, Berlin, Heidelberg, 2004.
Deb, Kalyanmoy, and Himanshu Gupta. “Introducing robustness in multi-objective optimization.” Evolutionary computation14, no. 4 (2006): 463-494.
Coello, CA Coello. “Evolutionary multi-objective optimization: a historical view of the field.” IEEE computational intelligence magazine1, no. 1 (2006): 28-36. Blank, Julian, and Kalyanmoy Deb. “Pymoo: Multi-objective optimization in python.” IEEE Access 8 (2020): 89497-89509.
Deb, Kalyanmoy, Lothar Thiele, Marco Laumanns, and Eckart Zitzler. “Scalable multi-objective optimization test problems.” In Proceedings of the 2002 Congress on Evolutionary Computation. CEC’02 (Cat. No. 02TH8600), vol. 1, pp. 825-830. IEEE, 2002.
Riquelme, Nery, Christian Von Lücken, and Benjamin Baran. “Performance metrics in multi-objective optimization.” In 2015 Latin American computing conference (CLEI), pp. 1-11. IEEE, 2015.
Tian, Ye, Ran Cheng, Xingyi Zhang, and Yaochu Jin. “PlatEMO: A MATLAB platform for evolutionary multi-objective optimization [educational forum].” IEEE Computational Intelligence Magazine12, no. 4 (2017): 73-87.
Alaya, Ines, Christine Solnon, and Khaled Ghedira. “Ant colony optimization for multi-objective optimization problems.” In 19th IEEE international conference on tools with artificial intelligence (ICTAI 2007), vol. 1, pp. 450-457. IEEE, 2007.
Ashby, M. F. “Multi-objective optimization in material design and selection.” Acta materialia48, no. 1 (2000): 359-369.
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de Albuquerque Teixeira, Roselito, Antônio Pádua Braga, Ricardo HC Takahashi, and Rodney R. Saldanha. “Improving generalization of MLPs with multi-objective optimization.” Neurocomputing35, no. 1-4 (2000): 189-194.
Behzadian, Majid, Reza Baradaran Kazemzadeh, Amir Albadvi, and Mohammad Aghdasi. “PROMETHEE: A comprehensive literature review on methodologies and applications.” European journal of Operational research200, no. 1 (2010): 198-215.
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Anand, Gapesh, and Rambabu Kodali. “Selection of lean manufacturing systems using the PROMETHEE.” Journal of modelling in management(2008).
Briggs, Th, P. L. Kunsch, and Bertrand Mareschal. “Nuclear waste management: an application of the multicriteria PROMETHEE methods.” European Journal of Operational Research44, no. 1 (1990): 1-10.
Mareschal, Bertrand, T. Briggs, and Pierre Louis Kunsch. Nuclear waste management: an application of the multicriteria PROMETHEE methods. No. 2013/9331. ULB–Universite Libre de Bruxelles, 1990.
Athawale, Vijay Manikrao, Prasenjit Chatterjee, and Shankar Chakraborty. “Decision making for facility location selection using PROMETHEE II method.” International Journal of Industrial and Systems Engineering 111, no. 1-2 (2012): 16-30.
Liao, Huchang, and Zeshui Xu. “Multi-criteria decision making with intuitionistic fuzzy PROMETHEE.” Journal of Intelligent & Fuzzy Systems27, no. 4 (2014): 1703-1717.
Halouani, Nesrin, Habib Chabchoub, and J-M. Martel. “PROMETHEE-MD-2T method for project selection.” European Journal of Operational Research195, no. 3 (2009): 841-849.
Baynal, Kasım, Tuğba Sarı, and Vedat Koçdağ. “A combined AHP-PROMETHEE approach for project selection and a case study in the Turkish textile industry.” European Journal of Business and Social Sciences5, no. 01 (2016): 202-216.
Verdecho Díez, María José, David Pérez Perales, and Faustino Alarcón Valero. “Project portfolio selection for increasing sustainability in supply chains using a multi-criteria approach.” In 13th International Conference on Industrial Engineering and Industrial Management. Servicio de Publicaciones de la Universidad de Oviedo, 2019.
Vidhya Prasanth, “Composite Materials Selection for Flywheel Using TOPSIS”, Journal on Materials and its Characterization, 1(1), (2022):30-34