Abstract: In this paper, reference point based neural network (NN) algorithm is proposed for solving fuzzy multiobjective environmental/economic dispatch problem (FM-EEDP). There are instabilities in the global market, implications of global financial crisis and the rapid fluctuations of prices, for this reasons a fuzzy representation of environmental/economic dispatch problem (EEDP) has been investigated. Our approach has two characteristic features. Firstly, FM-EEDP has been defuzzified. Secondly reference point based NN algorithm is implemented in such a way that the decision-maker (DM) participate early in the optimization process instead of leaving him/her alone with the final choice. The target is to identify the Pareto-optimal region closest to the DM preference so as to achieve the pollution limitations which controlled using environmental protection rules and to carry out the maximum cost limitation. Moreover to help the DM to identify the best compromise solution from a finite set of alternatives, TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) method is implemented. On the basis of the application of the standard IEEE 30-bus 6-genrator test system, we can conclude that the proposed method can provide a sound optimal power flow by considering the multiobjective problem. Also, with a number of trade-off solutions in the region of interests, we proved that the DM able to make a better and more reliable decision.Abstract: In this paper, reference point based neural network (NN) algorithm is proposed for solving fuzzy multiobjective environmental/economic dispatch problem (FM-EEDP). There are instabilities in the global market, implications of global financial crisis and the rapid fluctuations of prices, for this reasons a fuzzy representation of environmental/econom...Show More
Abstract: In this article, we have proposed a reliable combination of Elzaki transform and homotopy perturbation method (ETHPM) to solve Nonlinear Fractional Heat -Like Equations. The nonlinear terms in the equations can be handled by using homotopy perturbation method (HPM). This methods is very powerful and efficient techniques for solving different kinds of linear and nonlinear fractional differential equations. The results reveal that the combination of ELzaki transform and homotopy perturbation method (ETHPM) ismore efficient and easier to handle when is compared with existing other methods in such PDEs.Abstract: In this article, we have proposed a reliable combination of Elzaki transform and homotopy perturbation method (ETHPM) to solve Nonlinear Fractional Heat -Like Equations. The nonlinear terms in the equations can be handled by using homotopy perturbation method (HPM). This methods is very powerful and efficient techniques for solving different kinds ...Show More
Mohand M. Abdelrahim Mahgoub,Abdelilah Kamal H. Sedeeg
Issue:
Volume 1, Issue 1, November 2016
Pages:
21-24
Received:
11 October 2016
Accepted:
19 October 2016
Published:
15 November 2016
DOI:
10.11648/j.ajmcm.20160101.13
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Abstract: In this paper, we apply a combined form of the Elzaki transform method with the Adomian decomposition method to obtain the solution of Newell-Whitehead Segel equation. This method is called the Elzaki Adomian decomposition method (EADM). The method can be applied to linear and nonlinear problems. The result reveals that the proposed method is very efficient, simple and can be applied to linear and nonlinear problems.Abstract: In this paper, we apply a combined form of the Elzaki transform method with the Adomian decomposition method to obtain the solution of Newell-Whitehead Segel equation. This method is called the Elzaki Adomian decomposition method (EADM). The method can be applied to linear and nonlinear problems. The result reveals that the proposed method is very ...Show More
Jaafar EL Bakkali,Abderrahim Doudouh,Khalid Bouyakhlef,Laila Baddouh,Keltoum Dahmani,Hamid Mansouri
Issue:
Volume 1, Issue 1, November 2016
Pages:
25-31
Received:
23 October 2016
Accepted:
3 November 2016
Published:
23 November 2016
DOI:
10.11648/j.ajmcm.20160101.14
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Abstract: This study aimed to develop a new phase-space tool for Geant4 code using the HDF5 C++ scientific data library. The tool can be easy incorporated into existing Geant4 applications and provides particle recycling and rotational splitting capabilities which can be useful for faster modeling symmetric systems such as medical linear accelerator. The validation of this phase-space I/O routines has been performed in a very basic geometry. Thus, taking into account a homogeneous water phantom, the depth dose curve of a 20 MeV electron beam hitting a small target made of tungsten has been calculated and compared to ones produced in the simulation without phase-space technique and simulation with IAEA phase-space I/O routines. This study shown an excellent agreement found between different calculated depth dose curves, allowing us to validate our new phase-space I/O routines. Moreover, the CPU time spent by simulation without variance reduction technique can be reduced by 27% when this method was applied which is the same factor obtained with IAEA phase-space I/O routines. The phase-space tool describing in this paper, have been implemented for Geant4 code by using HDF5 C++ data managing library, the associated classes are few and easy to incorporate into an existing Geant4 user code, and it is freely available on GitHub ( https://github.com/EL-Bakkali-Jaafar/G4PhpH5/).Abstract: This study aimed to develop a new phase-space tool for Geant4 code using the HDF5 C++ scientific data library. The tool can be easy incorporated into existing Geant4 applications and provides particle recycling and rotational splitting capabilities which can be useful for faster modeling symmetric systems such as medical linear accelerator. The val...Show More