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Publications

1- Prediction of Non Linear system in Optics Using Genetic Programming, International Journal of Modern Physics C, vol.18, No.3, pp. 369-374 (March 2007 ). This paper also published in the 31 international conference for statistics, computer science and its application 2-6 April 2006.

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Publications

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  1. 1- Prediction of Non Linear system in Optics Using Genetic Programming, International Journal of Modern Physics C, vol.18, No.3, pp. 369-374 (March 2007 ). This paper also published in the 31 international conference for statistics, computer science and its application 2-6 April 2006. 2-GeneticProgramming approach for electron-alkali-metal atom collisions, International Journal of Modern Physics B, vol.20, No.32, pp. 5463-5471 (December 2006 ). 3- Genetic Programming approach for flow of steady state fluid between two eccentric spheres , Appl. Rheol. 17:6 (2007) 68210 Publications

  2. Optical fiber is a dielectric transparent medium which conducts and guides light and has many applications in different fields (ex communications) due to its superior optical properties. • For example zero-dispersion wavelength is one of optical properties of fiber. These optical properties are affected by temperature. • Variations of the optical properties of an optical fiber with temperature are of optimum importance in many optical and optoelectronic applications (why) • Our aim to study the effect of room temperature on the optical properties First : Applications of GA & GP in Optics

  3. Two-term Sellmeier dispersion relation had been adopted and fitted to the experimental refractive index data in the form (1)  is the wavelength measured in micrometers. Here A, B, C, D, and E are called the dispersion parameters of the fiber core/cladding materials. First : Applications of GA & GP in Optics cont.

  4. Nonlinear equation which can be solved numerically by using a suitable numerical calculation program. • However, a set of parameter values A, B, C and D, in many cases, will not be uniquely determined (not agreed with the previous experimental data). • many different regions of parameter space are investigated simultaneously. • The results agree well with all previous Authors’ works. First : Applications of GA & GP in Optics cont.

  5. First : Applications of GA & GP in Optics cont.

  6. First : Applications of g GA & GP enetic programming in Optics Introduction Experimental and predicted refractive index dispersion formula of the core of fiber.

  7. In conclusion, GA succeeded to find solutions for the variables in one equation that others methods could not. • The discovered function shows an excellent match to the experimental data as well as, the predicting experimental data that are not used in the training session. • GP find a model that depend on two variables (, T) not one variable as in the literature. • Finally, we conclude that GP have become one of important research area in the field of optics. First : Applications of GA & GP in Optics

  8. Alkali-metal atoms Li, Na, K, Rb and Cs atoms have been a subject of interest in several theoretical and experimental investigations in electron-atom collisions because of their various interesting applications • The previous theoretical formula has an error 21% with the experimental data. • To find a function that fit the experimental data and can predict others, We applied the GP technique. Second : Applications of GP in Atomic

  9. Second : Applications of GP in Atomic

  10. Second : Applications of GP in Atomic

  11. In conclusion, the discovered functions (the electron incident energy, atomic number and static dipole polarizability) show a good match to the experimental data. Moreover, the discovered functions are capable of predicting experimental data that are not used in the training session. • The previous theoretical formula has an error 21% with the experimental data but the discovered function has less than 10% which is acceptable error in physics. • Finally, we conclude that GP have become one of important research area in the field of atomic physics. Second : Applications of GP in Atomic

  12. Fluids have some characteristics as viscosity and elasticity. • There are instruments measured viscosity but for polymers that have the two characteristics (viscosity & elasticity). • It is difficult to measured both of them simultaneously, a special techniques needed • A new technique describes by the torque and the forces acting on the external sphere due to steady state motion of viscoelastic fluid between two eccentric spheres. Third : Applications of GP in fluid dynamics

  13. Third : Applications of GP in fluid dynamics

  14. Third : Applications of GP in fluid dynamics

  15. In conclusion, GP discovered two functions (for torque and forces ) that matched with the experimental calculated and predicted Data. • Moreover, the discovered functions are capable of predicting experimental data that are not used in the training session. • The two discovered functions are new in the fluid dynamics to determent the viscosity and elasticity simultaneously. Third : Applications of GP in fluid dynamics

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