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An intelligent computing technique based on a dynamic-size subpopulations for unit commitment problem محمد عبدالرحمن الشوربجي حسن
A new intelligent computing based approach for solving multi-objective unit commitment problem (MOUCP) and its fuzzy model is presented in this paper. The proposed intelligent approach combines binary-real-coded genetic algorithm (BRCGA) and K-means clustering technique to find the optimal schedule of the generation units in MOUCP. BRCGA is used in order to tackle both the unit scheduling and load dispatch problems. While, K-means clustering technique is used to divide the population into a specific number of subpopulation with-dynamic-sizes. In this way, different genetic algorithm (GA) operators can apply to each sub-population, instead of using the same GA operators for all population. The proposed intelligent algorithm has been tested on standard systems of MOUCPs. The results showed the efficiency of the proposed approach to solve (MOUCP) and its fuzzy model.

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TIME DEPENDENT SCHRÖDINGER EQUATION FOR TWO LEVEL SYSTEMS TO FIND TRAVERSE RELAXATION TIME اسماء محمد البشير سعد محمد سعد

ABSTRACT
Transverse relaxation time is important in magnetic resonance imaging (MRI). It is important to construct new models to find new parameters that control imaging quality. In this work Schrodinger Equation in energy space for two level systems was used to find transverse relaxation time. By suggesting sine and cosine beside complex solutions a useful expression for transverse relaxation time was found. When electric interaction dominate, i.e. for dielectric materials the transverse relaxation time depends on the electric dipole moment. However the magnetic materials having magnetic spin and magnetic dipole moment, it depends on the internal field as well as spin quantum number.

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A Hybridization of Sine Cosine Algorithm with Steady State Genetic Algorithm for Engineering Design Problems محمد عبدالرحمن الشوربجي حسن
El-Shorbagy M.A., Farag M.A., Mousa A.A., El-Desoky I.M. (2020) A Hybridization of Sine Cosine Algorithm with Steady State Genetic Algorithm for Engineering Design Problems. In: Hassanien A., Azar A., Gaber T., Bhatnagar R., F. Tolba M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019). AMLTA 2019. Advances in Intelligent Systems and Computing, vol 921. Springer, Cham ...
Identifying the Most Significant Solutions from Pareto Front Using Hybrid Genetic K-Means Approach محمد عبدالرحمن الشوربجي حسن

A. Al Malki, M.M. Rizk, M.A. El-Shorbagy, A.A. Mousa, International Journal of Applied Engineering Research, 11(14) (2016) 8298-8311. 

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Identifying a satisfactory operation point for fuzzy multiobjective environmental/economic dispatch problem محمد عبدالرحمن الشوربجي حسن

A. A. Mousa, M. A. El-Shorbagy.American Journal of Mathematical and Computer Modelling. Vol. 1, No. 1, 2016, pp. 1-14. doi: 10.11648/j. ajmcm.20160101.11

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Solving Nonlinear Single-Unit Commitment Problem by Genetic Algorithm Based Clustering Technique محمد عبدالرحمن الشوربجي حسن

M. A. El-Shorbagy, A. A. Mousa, M. Farag, Review of Computer Engineering Research, 4(1) (2017) 11-29. doi: 10.18488/journal. 6.2017.41.11.29

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Local search based hybrid particle swarm optimization for multiobjective optimization محمد عبدالرحمن الشوربجي حسن

A.A. Mousa , M.A. El-Shorbagy , Waiel. F. Abd El-Wahed, International journal of Swarm and evolutionary computation 3 (2012) 1:14.

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Integrating particle swarm optimization with genetic algorithms for solving nonlinear optimization problems محمد عبدالرحمن الشوربجي حسن

W.F. Abd El-Wahed, A.A. Mousa, M.A. El-Shorbagy, Journal of Computational and Applied Mathematics 235 (2011) 1446–1453

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Weighted Method Based Trust Region-Particle Swarm Optimization for Multi-Objective Optimization محمد عبدالرحمن الشوربجي حسن

American Journal of Applied Mathematics

2015; 3(3): 81-89

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CHAOTIC PARTICLE SWARM OPTIMIZATION FOR IMPRECISE COMBINED ECONOMIC AND EMISSION DISPATCH PROBLEM محمد عبدالرحمن الشوربجي حسن
CHAOTIC PARTICLE SWARM OPTIMIZATION FOR IMPRECISE COMBINED ECONOMIC AND EMISSION DISPATCH PROBLEM M.A. El-Shorbagy, A.A. Mousa Review of Information Engineering and Applications 4 (1), 20-35 ...
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