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GA-based decision support system for multicriteria optimization
Open accessAbstract
Proposes a multicriteria decision making (MCDM) method by using a genetic algorithm (GA). The system consists of three phases. In the first phase, a rough set of Pareto optimal solutions is obtained using Kohonen's self organizing map (SOM). In the second phase, the decision maker (DM) selects his preferred solutions among the obtained set, where the mechanism of GA is used with the DM's preference assisted by radial basis function network (RBFN). In the third phase, the DM can explore the solution space further for the final decision.
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Cited by
A fast and elitist multiobjective genetic algorithm: NSGA-II
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.996017 · Cited by 50,053
Scalable multi-objective optimization test problems
Deb, K., Thiele, L., Laumanns, M., & Zitzler, E. (2003) · Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600) · doi:10.1109/cec.2002.1007032 · Cited by 1,627
Push and pull search for solving constrained multi-objective optimization problems
Fan, Z., Li, W., Cai, X., Li, H., Wei, C., Zhang, Q., Deb, K., & Goodman, E. (2019) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2018.08.017 · Cited by 594
A Survey on Evolutionary Constrained Multiobjective Optimization
Liang, J., Ban, X., Yu, K., Qu, B., Qiao, K., Yue, C., Chen, K., & Tan, K. C. (2023) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2022.3155533 · Cited by 438
Constraint Handling in Multiobjective Evolutionary Optimization
Woldesenbet, Y. G., Yen, G. G., & Tessema, B. G. (2009) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2008.2009032 · Cited by 420
Metadata
- Authors
- Tanaka, M., Watanabe, H., Furukawa, Y., & Tanino, T.
- Venue
- 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century
- Publisher
- IEEE
- Published
- 2002-11-19
- Volume
- 2
- Pages
- 1556-1561
- ISSN
- 1062-922X (ISSN-L)
- OpenAlex
- W2109880321
- Cited by
- 248
- References
- 0
- FWCI
- 6.54
- Type
- conference paper
- Language
- en
- Open access
- green
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- Tanaka, M., Watanabe, H., Furukawa, Y., & Tanino, T. (2002). GA-based decision support system for multicriteria optimization. 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century. https://doi.org/10.1109/icsmc.1995.537993
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