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Haitham Seada
Haitham Seada
Data Scientist - Ford Next - Ford Motor Company
Verified email at ford.com - Homepage
Title
Cited by
Cited by
Year
A unified evolutionary optimization procedure for single, multiple, and many objectives
H Seada, K Deb
IEEE Transactions on Evolutionary Computation 20 (3), 358-369, 2015
1382015
U-NSGA-III: a unified evolutionary optimization procedure for single, multiple, and many objectives: proof-of-principle results
H Seada, K Deb
International conference on evolutionary multi-criterion optimization, 34-49, 2015
1382015
Generating well-spaced points on a unit simplex for evolutionary many-objective optimization
J Blank, K Deb, Y Dhebar, S Bandaru, H Seada
IEEE Transactions on Evolutionary Computation 25 (1), 48-60, 2020
782020
U-NSGA-III: A unified evolutionary algorithm for single, multiple, and many-objective optimization
H Seada, K Deb
COIN report 2014022, 2014
632014
Multiphase balance of diversity and convergence in multiobjective optimization
H Seada, M Abouhawwash, K Deb
IEEE Transactions on Evolutionary Computation 23 (3), 503-513, 2018
502018
Towards faster convergence of evolutionary multi-criterion optimization algorithms using Karush Kuhn Tucker optimality based local search
M Abouhawwash, H Seada, K Deb
Computers & Operations Research 79, 331-346, 2017
302017
Non-dominated sorting based multi/many-objective optimization: Two decades of research and application
H Seada, K Deb
Multi-Objective Optimization: Evolutionary to Hybrid Framework, 1-24, 2018
252018
A computationally fast convergence measure and implementation for single-, multiple-, and many-objective optimization
K Deb, M Abouhawwash, H Seada
IEEE Transactions on Emerging Topics in Computational Intelligence 1 (4 …, 2017
212017
Shared molecular networks in orofacial and neural tube development
YA Kousa, TA Mansour, H Seada, S Matoo, BC Schutte
Birth Defects Research 109 (2), 169-179, 2017
212017
Effect of selection operator on NSGA-III in single, multi, and many-objective optimization
H Seada, K Deb
2015 IEEE Congress on Evolutionary Computation (CEC), 2915-2922, 2015
202015
Generating uniformly distributed points on a unit simplex for evolutionary many-objective optimization
K Deb, S Bandaru, H Seada
Evolutionary Multi-Criterion Optimization: 10th International Conference …, 2019
172019
Towards a better balance of diversity and convergence in NSGA-III: First results
H Seada, M Abouhawwash, K Deb
Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO …, 2017
132017
Towards a better diversity of evolutionary multi-criterion optimization algorithms using local searches
HA Seada, M Abouhawwash, K Deb
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016
112016
Whole genome sequencing for mutation discovery in a single case of lysosomal storage disease (MPS type 1) in the dog
TA Mansour, KD Woolard, KL Vernau, DM Ancona, SM Thomasy, ...
Scientific reports 10 (1), 6558, 2020
82020
Time window optimization for attended home service delivery under multiple sources of uncertainties
X Yu, S Shen, B Badri-Koohi, H Seada
Computers & Operations Research 150, 106045, 2023
62023
Karush-Kuhn-Tucker optimality based local search for enhanced convergence of evolutionary multi-criterion optimization methods
M Abouhawwash, H Seada, K Deb
Comput. Oper. Res, 2015
22015
Balancing Convergence and Diversity in Evolutionary Single, Multi and Many Objectives
H Seada
Michigan State University, 2017
2017
A NOVELTY-BASED APPROACH TO CAPTURING UNIQUE SOLUTIONS IN CONTINUOUS MULTIOBJECTIVE PROBLEMS
MM Nabil, H Seada, MZ Rashad, A Abd El Latif
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