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Multiobjective fuzzy-GSK algorithm in uncertain project management environments Cover

Multiobjective fuzzy-GSK algorithm in uncertain project management environments

Open Access
|Jun 2025

References

  1. K. B. Bagshaw, “PERT and CPM in project management with practical examples,” American Journal of Operations Research, vol. 11, no. 4, pp. 215–226, 2021.
  2. S. Atin and R. Lubis, “Implementation of Critical Path Method in Project Planning and Scheduling,” IOP Conference Series: Materials Science and Engineering, vol. 662, no. 2, pp. 022031, 2019.
  3. Y. Mariana and S. Wijaksono, “Project Evaluation and Review Technique (PERT) Analysis in the renovation project of the Church of St. John the Evangelist, Jakarta,” IOP Conference Series: Earth and Environmental Science, vol. 794, no. 1, pp. 012188, 2021.
  4. Sharma and V. Kumar, “A comprehensive review on multi-objective optimization techniques: Past, present and future,” Archives of Computational Methods in Engineering, vol. 29, no. 7, pp. 5605–5633, 2022.
  5. G. Karakaya, “Editorial for Recent Advances and Applications of Multi-objective Optimization,” EURO Journal on Decision Processes, Article ID 100049, 2024.
  6. S. J. Mousavirad and H. Ebrahimpour-Komleh, “Human mental search: A new population-based metaheuristic optimization algorithm,” Applied Intelligence, vol. 47, pp. 850–887, 2017.
  7. A. W. Mohamed, A. A. Hadi, and A. K. Mohamed, “Gaining-sharing knowledge-based algorithm for solving optimization problems: A novel nature-inspired algorithm,” International Journal of Machine Learning and Cybernetics, vol. 11, no. 7, pp. 1501–1529, 2020.
  8. H. Ma, J. Zhang, W. Wei, W. Cheng, and Q. Liu, “A modified gaining-sharing knowledge algorithm based on dual-population and multi-operators for unconstrained optimization,” in Proc. International Conference on Swarm Intelligence, Cham: Springer Nature Switzerland, 2023, pp. 309–319.
  9. J. S. Pan, L. F. Liu, S. C. Chu, P. C. Song, and G. G. Liu, “A new gaining-sharing knowledge-based algorithm with parallel opposition-based learning for internet of vehicles,” Mathematics, vol. 11, no. 13, Article ID 2953, 2023.
  10. Z. Liang and Z. Wang, “Enhancing population diversity-based gaining-sharing knowledge-based algorithm for global optimization and engineering design problems,” Expert Systems with Applications, Article ID 123958, 2024.
  11. N. E. Chalabi, A. Attia, K. A. Alnowibet, H. M. Zawbaa, H. Masri, and A. W. Mohamed, “A multi-objective gaining-sharing knowledge-based optimization algorithm for solving engineering problems,” Mathematics, vol. 11, no. 14, Article ID 3092, 2023.
  12. M. Kapoor, B. K. Pathak, and R. Kumar, “A nature-inspired meta-heuristic knowledge-based algorithm for solving multiobjective optimization problems,” Journal of Engineering Mathematics, vol. 143, no. 5, 2023.
  13. L. A. Zadeh, “Fuzzy sets,” Information and Control, vol. 8, no. 3, pp. 338–353, 1965.
  14. L. A. Zadeh, “Outline of a new approach to the analysis of complex systems and decision processes,” IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-3, no. 1, pp. 28–44, 1973.
  15. E. H. Mamdani, “Application of fuzzy logic to approximate reasoning using linguistic synthesis,” IEEE Transactions on Computers, vol. 100, no. 12, pp. 1182–1191, 1977.
  16. L. A. Zadeh, “Outline of a new approach to the analysis of complex systems and decision processes,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 1, pp. 28–44, 1973.
  17. M. Mares, “Network analysis of fuzzy set methodology in industrial engineering,” in Proceedings of the 1989 International Conference on Fuzzy Systems, Evans, Karwowski, Wilhelm, Eds., Elsevier Science Publishers, B.V., 1989, pp. 115–125.
  18. S. S. Leu, A. T. Chen, and C. H. Yang, “A GA-based fuzzy optimal model for construction time-cost trade-off,” International Journal of Project Management, vol. 19, no. 1, pp. 47–58, 2001.
  19. B. K. Pathak and S. Srivastava, “MOGA-based time-cost tradeoffs: responsiveness for project uncertainties,” in Proceedings of the 2007 IEEE Congress on Evolutionary Computation, 2007, pp. 3085–3092.
  20. E. Eshtehardian, A. Afshar, and R. Abbasnia, “Fuzzy-based MOGA approach to stochastic time-cost trade-off problem,” Automation in Construction, vol. 18, no. 5, pp. 692–701, 2009.
  21. S. P. Chen and M. J. Tsai, “Time-cost trade-off analysis of project networks in fuzzy environments,” European Journal of Operational Research, vol. 212, no. 2, pp. 386–397, 2011.
  22. M. O. Suliman, V. S. Kumar, and W. Abdulal, “Optimization of uncertain construction time-cost trade-off problem using simulated annealing algorithm,” in Proceedings of the 2011 World Congress on Information and Communication Technologies, 2011, pp. 489–494.
  23. H. Ke, W. Ma, X. Gao, and W. Xu, “New fuzzy models for time-cost trade-off problem,” Fuzzy Optimization and Decision Making, vol. 9, pp. 219–231, 2010.
  24. S. Srivastava, B. Pathak, and K. Srivastava, “Project Scheduling: Time-cost tradeoff problems,” in Computational Intelligence in Optimization: Applications and Implementations, 2010, pp. 325–357.
  25. H. Acar Yildirim and C. Akcay, “Time-cost optimization model proposal for construction projects with genetic algorithm and fuzzy logic approach,” Revista de Construcción, vol. 18, no. 3, pp. 554–567, 2019.
  26. S. M. A. Tabei, M. Bagherpour, and A. Mahmoudi, “Application of fuzzy modelling to predict construction projects cash flow,” Periodica Polytechnica Civil Engineering, vol. 63, pp. 647–659, 2019.
  27. M. A. Al-Zarrad and D. Fonseca, “A new model to improve project time-cost trade-off in uncertain environments,” Contemporary Issues in Research and Operations Management, vol. 6, pp. 96–112, 2018.
  28. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, “A fast and elitist multiobjective genetic algorithm: NSGA-II,” IEEE Transactions on Evolutionary Computation, vol. 6, no. 2, pp. 182–197, 2002.
  29. K. Deb, Multi-objective optimization using evolutionary algorithms, New York: John Wiley and Sons, 2001.
  30. C. W. Feng, L. Liu, and S. A. Burns, “Using genetic algorithms to solve construction time-cost trade-off problems,” Journal of Computing in Civil Engineering, vol. 11, pp. 184–189, 1997.
  31. B. K. Pathak and S. Srivastava, “Integrated ANN-HMH approach for nonlinear time-cost tradeoff problem,” International Journal of Computational Intelligence Systems, vol. 7, no. 3, pp. 456–471, 2014.
  32. T. Göçken, “Solution of fuzzy multi-objective project crashing problem,” Neural Computing and Applications, vol. 23, pp. 2167–2175, 2013.
  33. B. K. Pathak and S. Srivastava, “Integrated Fuzzy-HMH for project uncertainties in time-cost tradeoff problem,” Applied Soft Computing, vol. 21, pp. 320–329, 2014.
  34. S. Sharma, B. K. Pathak, and R. Kumar, “Adopting an Improved Genetic Algorithm for Multi-Objective Service Composition Optimization in Smart Agriculture,” Austrian Journal of Statistics, vol. 53, no. 5, pp. 11–25, 2024.
  35. S. Sharma, B. K. Pathak, and R. Kumar, “Multi-objective Service Composition Optimization in Smart Agriculture Using Fuzzy-Evolutionary Algorithm,” Operations Research Forum, vol. 5, no. 2, p. 43, 2024.
Language: English
Submitted on: Mar 26, 2025
Published on: Jun 7, 2025
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2025 Talal A. Alshammari, Ali Wagdy Mohamed, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.