Khaled Rasheed
Cited by
Cited by
Hurst exponent and financial market predictability
B Qian, K Rasheed
IASTED conference on Financial Engineering and Applications, 203-209, 2004
Stock market prediction with multiple classifiers
B Qian, K Rasheed
Applied Intelligence 26 (1), 25-33, 2007
Decision tree and ensemble learning algorithms with their applications in bioinformatics
D Che, Q Liu, K Rasheed, X Tao
Software tools and algorithms for biological systems, 191-199, 2011
GADO: A genetic algorithm for continuous design optimization
KM Rasheed
Rutgers The State University of New Jersey-New Brunswick, 1998
Constrained multi-objective optimization using steady state genetic algorithms
D Chafekar, J Xuan, K Rasheed
Genetic and Evolutionary Computation Conference, 813-824, 2003
MDGA: motif discovery using a genetic algorithm
D Che, Y Song, K Rasheed
Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005
A survey of fitness approximation methods applied in evolutionary algorithms
L Shi, K Rasheed
Computational intelligence in expensive optimization problems, 3-28, 2010
Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models
K Rasheed, H Hirsh
Proceedings of the 2nd Annual Conference on Genetic and Evolutionary …, 2000
A genetic algorithm for continuous design space search
K Rasheed, H Hirsh, A Gelsey
Artificial Intelligence in Engineering 11 (3), 295-305, 1997
High-performance supersonic missile inlet design using automated optimization
GC Zha, D Smith, M Schwabacher, K Rasheed, A Gelsey, D Knight, ...
Journal of Aircraft 34 (6), 697-705, 1997
Multiobjective GA optimization using reduced models
D Chafekar, L Shi, K Rasheed, J Xuan
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2005
A brief review of domain adaptation
A Farahani, S Voghoei, K Rasheed, HR Arabnia
Advances in data science and information engineering, 877-894, 2021
Comparison of methods for developing dynamic reduced models for design optimization
K Rasheed, X Ni, S Vattam
Soft Computing 9 (1), 29-37, 2005
Comparison of Methods for Developing Dynamic Reduced Models for Design Optimization
K Rasheed, X Ni, S Vattam
Congress on Evolutionary Computation (CEC’2002), 390-395, 2002
An adaptive penalty approach for constrained genetic-algorithm optimization
K Rasheed
Proceedings of the third annual genetic programming conference, 584-590, 1998
Using surrogate modeling in the prediction of fibrinogen adsorption onto polymer surfaces
JR Smith, D Knight, J Kohn, K Rasheed, N Weber, V Kholodovych, ...
Journal of chemical information and computer sciences 44 (3), 1088-1097, 2004
ASAGA: an adaptive surrogate-assisted genetic algorithm
L Shi, K Rasheed
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
Comparison Of Methods For Using Reduced Models To Speed Up Design Optimization.
K Rasheed, S Vattam, X Ni
GECCO, 1180-1187, 2002
Using Machine Learning Techniques for Stylometry.
RC He, K Rasheed
IC-AI, 897-903, 2004
Effect of global parallelism on the behavior of a steady state genetic algorithm for design optimization
K Rasheed, BD Davison
Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No …, 1999
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Articles 1–20