A Hybrid GA-MOORA Approach for Objective Criteria Weighting in Multi-Criteria Decision Making

Rasheed Al-Salih, Watheq Laith , Fadhil Mahan and Osamah Abbas

References:

1. Z. Chourabi, F. Khedher, A. Babay, and M. Cheikhrouhou, “Multi-criteria decision making in workforce choice using AHP, WSM and WPM,” J. Textile Inst., vol. 110, no. 7, pp. 1092–1101, 2019.
2. R. Kumar, R. Dubey, S. Singh, S. Singh, C. Prakash, Y. Nirsanametla, and R. Chudy, “Multiple-criteria decision-making and sensitivity analysis for selection of materials for knee implant femoral component,” Materials, vol. 14, no. 8, 2084, 2021.
3. A. Kolios, V. Mytilinou, E. Lozano-Minguez, and K. Salonitis, “A comparative study of multiple-criteria decision-making methods under stochastic inputs,” Energies, vol. 9, no. 7, 566, 2016.
4. Budiharjo, Windarto, A. Perdana, and M. Abulwafa, “Comparison of weighted sum model and multi attribute decision making weighted product methods in selecting the best elementary school in Indonesia,” Int. J. Softw. Eng. Appl., vol. 11, no. 4, pp. 69–90, 2017.
5. A. M. AlAli, A. Salih, and A. Hassaballa, “Geospatial-based analytical hierarchy process (AHP) and weighted product model (WPM) techniques for mapping and assessing flood susceptibility in the Wadi Hanifah Drainage Basin, Riyadh Region, Saudi Arabia,” Water, vol. 15, no. 10, 2023.
6. Y. Han, Z. Wang, X. Lu, and B. Hu, “Application of AHP to road selection,” ISPRS Int. J. Geo-Inf., vol. 9, no. 2, 86, 2020.
7. E. Jayamani, D. S. Perera, K. H. Soon, and M. Bakri, “Application of analytic hierarchy process (AHP) in the analysis of the fuel efficiency in the automobile industry with the utilization of natural fiber polymer composites,” in IOP Conf. Ser.: Mater. Sci. Eng., vol. 191, no. 1, 012004.
8. H. Yaseen and H. Naji, “Applying analytical network process to the selection of financing method for abandoned construction projects in Iraq,” Diyala J. Eng. Sci., pp. 62–70, 2021.
9. L. Zarei, N. Moradi, F. Peiravian, and G. Mehralian, “An application of analytic network process model in supporting decision making to address pharmaceutical shortage,” BMC Health Serv. Res., vol. 20, no. 1, 626, 2020.
10. S. Malallah and Z. H. Ali, “TOPSIS with multiple linear regression for multi-document text summarization,” Iraqi J. Sci., pp. 1298–1307, 2017.
11. D. Dhayef, S. Al-Zubaidi, L. Al-Kindi, and E. Tirkolaee, “Cell formation and layout design using genetic algorithm and TOPSIS: A case study of Hydraulic Industries State Company,” PLOS One, vol. 19, no. 1, e0296133, 2024.
12. S. Shihab and E. Mubarak, “Multi-objective optimization of wire EDM parameters by applying MOORA technique,” Iraqi J. Mech. Mater. Eng., vol. 17, no. 2, pp. 354–364, 2017.
13. Y. Ic, “A multi-objective credit evaluation model using MOORA method and goal programming,” Arab. J. Sci. Eng., vol. 45, no. 3, pp. 2035–2048, 2020.
14. A. Hussein, L. Abbas, and A. K. Hameed, “Effect of carburization parameters on hardness of carburized steel using MOORA approach,” Al-Khwarizmi Eng. J., vol. 14, no. 3, pp. 92–99, 2018.
15. Y. T. İç and S. Yıldırım, “MOORA-based Taguchi optimisation for improving product or process quality,” Int. J. Prod. Res., vol. 51, no. 11, pp. 3321–3341, 2013.
16. A. Abraheim, A. Ali, and R. Al-Salih, “Flow optimization in dynamic networks on time scales,” in J. Phys.: Conf. Ser., vol. 1804, no. 1, 012025, 2021.
17. R. Al-Salih, “Dynamic network flows in quantum calculus,” J. Anal. Appl., vol. 18, no. 1, pp. 53–66, 2020.
18. A. Bhattacharyya and S. Chakraborty, “A DEA-TOPSIS-based approach for performance evaluation of Indian technical institutes,” Decis. Sci. Lett., vol. 3, no. 3, pp. 397–410, 2014.
19. S. Rakhshan, “Efficiency ranking of decision making units in data envelopment analysis by using TOPSIS-DEA method,” J. Oper. Res. Soc., vol. 68, no. 8, pp. 906–918, 2017.
20. C. Peng, D. Feng, and S. Guo, “Material selection in green design: A method combining DEA and TOPSIS,” Sustainability, vol. 13, no. 10, 5497, 2021.
21. S. S. Ray and S. Misra, “Genetic algorithm for assigning weights to gene expressions using functional annotations,” Comput. Biol. Med., vol. 104, pp. 149–162, 2019.
22. M. Wasid, R. Ali, and S. Shahab, “Adaptive genetic algorithm for user preference discovery in multi-criteria recommender systems,” Heliyon, vol. 9, no. 7, 2023.
23. K. Sundararajan and K. Srinivasan, “A synergistic optimization algorithm with attribute and instance weighting approach for effective drought prediction in Tamil Nadu,” Sustainability, vol. 16, no. 7, 2936, 2024.