Ehab Elfeky
Lecturer of Operations Research and Desicion Support
5 Dr. Ahmed Zewail Street, Postal Code: 12613, Orman, Giza, Egypt
(email)
Publications
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2017
Elkasaby, A., A. K. R. A. M. SALAH, and E. Elfeky,
"
Multiobjective Optimization using Genetic Programming: Reducing Selection Pressure by Approximate Dominance
",
ICORES 2017
, pp. 424, 2017.
Abstract
n/a
2008
Elfeky, E. Z., R. A. Sarker, and D. Essam,
"
Analyzing the Simple Ranking and Selection Process for Constrained Evolutionary Optimization.
",
J. Comput. Sci. Technol.
, pp. 19-34, 2008.
Abstract
n/a
Ullah, A. S. S. M. B., E. Z. Elfeky, D. Cornforth, D. L. Essam, and R. A. Sarker,
"
Improved evolutionary algorithms for solving constrained optimization problems with tiny feasible space.
",
SMC
, pp. 1426-1433, 2008.
Abstract
n/a
Elfeky, E. Z., R. A. Sarker, and D. L. Essam,
"
Partial decomposition and parallel GA (PD-PGA) for constrained optimization.
",
SMC
, pp. 220-227, 2008.
Abstract
n/a
Elfeky, E. Z., R. A. Sarker, and D. Essam,
"
Task Decomposition for Optimization Problem Solving.
",
SEAL
, pp. 329-338, 2008.
Abstract
n/a
2006
Elfeky, E. Z., R. A. Sarker, and D. L. Essam,
"
A Simple Ranking and Selection for Constrained Evolutionary Optimization.
",
SEAL
, pp. 537-544, 2006.
Abstract
n/a
2004
Bayoumi, M. A. H., and E. Z. Elfeky,
"
A Parallel Genetic Algorithms for treating Multi- Objective Optimization Problems
",
The 2nd International Conference on Informatics and Systems
, Cairo, 2004.
Abstract
pmoga.pdf
n/a
2003
,
"
A Directed Genetic Algorithms for Treating Linear Programming Problems
",
Inter. J. of The Compu. The Internet and Manag.
, pp. 37-51, 2003.
Abstract
n/a
Publications
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Recent Publications
Multiobjective Optimization using Genetic Programming: Reducing Selection Pressure by Approximate Dominance
Analyzing the Simple Ranking and Selection Process for Constrained Evolutionary Optimization.
Task Decomposition for Optimization Problem Solving.
Partial decomposition and parallel GA (PD-PGA) for constrained optimization.
Improved evolutionary algorithms for solving constrained optimization problems with tiny feasible space.
more