Publications

Seada, H.; Abouhawwash, M; Deb, K., ”Multi-Phase Balance of Diversity and Convergence in Multiobjective Optimization”, IEEE Transactions on Evolutionary Computation, 2017 (under review)
Hadka, D.; Salazar, Z.; Reed, P.; Seada, H.; Deb, K., ”Real World Diagnostic Benchmarking forModern Many-Objective Evolutionary Algorithms”, IEEE Transactions on Evolutionary Computation, 2017 (under review)
Deb, K.; Abouhawwash, M.; Seada, H., "A Computationally Fast Convergence Measure and Implementation for Single, Multiple and Many-Objective Optimization", IEEE Transactions on Emerging Topics in Computational Intelligence 2017. (in press)
Seada, H.; Abouhawwash, M.; Deb, K. "Towards a Better Balance of Diversity and Convergence in NSGA-III: First Results." In International Conference on Evolutionary Multi-Criterion Optimization, pp. 545-559. Springer, Cham, 2017. (link)

Kousa, Y.A.; Mansour, T.A.; Seada, H.; Matoo, S.; Schutte, B.C., ”Shared molecular networks in orofacial and neural tube development.”, Birth defects research, no.109(2), pp.169-179, 2017. (link)
​​Seada, H.; Abouhawwash, M.; Deb, K., "Towards a Better Diversity of Evolutionary Multi-Criterion Optimization Algorithms using Local Searches." Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. ACM, 2016. (link)
Abouhawwash, M.; Seada, H.; Deb, K., “Towards Faster Convergence of Evolutionary Multi-Criterion Optimization Algorithms using Karush-Kuhn-Tucker Optimality Based Local Search”, Computers & Operations Research, 2016  (link)
Seada, H.; Deb, K., "A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives," in Evolutionary Computation, IEEE Transactions on , no.99, pp.1-1 (doi: 10.1109/TEVC.2015.2459718)  (link)
Seada, H.; Deb, K., "Effect of selection operator on NSGA-III in single, multi, and many-objective optimization", in Evolutionary Computation (CEC), 2015 IEEE Congress on , pp.2915-2922, 25-28 May 2015 (doi: 10.1109/CEC.2015.7257251)  (link)
Seada, H.; Deb, K., "U-NSGA-III: A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives: Proof-of-Principle Results", 8th Conference on Evolutionary Multiobjective Optimization, 2015, Portugal.  (link)
El-Henawy, I.; Kamal, A.; Al-Shishiny, H.; Seada, H., "A Central-3-Residues-Based clustering approach for studying the effect of hydrophobicity on protein backbone angles", Egyptian Computer Science Journal, Volume 32, Issue 1, May 2009