Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Management Science and Operations Research,Control and Optimization,Computer Networks and Communications,Information Systems,Software
Reference91 articles.
1. Abouhawwash, M., Jameel, M. A.: Evolutionary multi-objective optimization using Benson’s Karush–Kuhn–Tucker proximity measure. In: International Conference on Evolutionary Multi-criterion Optimization, Springer, pp. 27–38 (2019)
2. Abouhawwash, M., Jameel, M., Deb, K.: A smooth proximity measure for optimality in multi-objective optimization using Benson’s method, Elsevier. Comput. Oper. Res. (in press) (2020)
3. Abouhawwash, M., Seada, H., Deb, K.: Towards faster convergence of evolutionary multi-criterion optimization algorithms using Karush Kuhn Tucker optimality based local search. Comput. Oper. Res. Elsevier 79, 331–346 (2017)
4. Asafuddoula, M., Ray, T., Sarker, R.: A decomposition-based evolutionary algorithm for many objective optimization. IEEE Trans. Evolut. Comput. 19(3), 445–460 (2014)
5. Asafuddoula, M., Singh, H.K., Ray, T.: An enhanced decomposition-based evolutionary algorithm with adaptive reference vectors. IEEE Trans. Cybern. 48(8), 2321–2334 (2017)
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