Communications Internationales
Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/11
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Item Entropy generation optimization of a hemispherical anchor agitated batch reactor(American Institute of Physics, 2019) Baghli, Houda; Tchouar, Noureddine; Merah, AbdelkrimThe entropy generation optimization of a hemispherical anchor agitated batch reactor has been studied, to optimize the heat transfer in the process of production of a cosmetic cream cooled by a jacket at industrial scale. The main objective of this optimization of the cooling condition was the improvement of the product quality and the reduction the energy consumption of the process. The phenomenon considered is two-dimensional, axisymmetric and permanent. The entropy generation optimization has been carried out successfully by the simulation of the heat transfer throw the reactor wall and the agitated fluid. The results give the optimum speed velocity for agitation and the optimal cooling time and coolant temperatureItem Optimization of the compression systems using genetic algorithm(IEEE, 2016) Zammoum Boushaki, Razika; Kessal, Farida; Bentarzi, HamidItem Fuzzy logic based gradient descent method with application to a PI-type fuzzy controller tuning : new results(IEEE, 2007) Habbi, A.; Zelmat, M.Item Improved cuckoo search algorithm for document clustering(Springer, 2015) Boushaki, Saida Ishak; Kamel, Nadjet; Bendjeghaba, OmarItem Genetic algorithm based objective functions comparative study for damage detection and localization in beam structures(Institute of Physics Publishing, 2015) Khatir, Samir; Belaidi, Idir; Serra, R.; Benaissa, Brahim; Ait Saada, AichaThe detection techniques based on non-destructive testing (NDT) defects are preferable because of their low cost and operational aspects related to the use of the analyzed structure. In this study, we used the genetic algorithm (GA) for detecting and locating damage. The finite element was used for diagnostic beams. Different structures considered may incur damage to be modelled by a loss of rigidity supposed to represent a defect in the structure element. Identification of damage is formulated as an optimization problem using three objective functions (change of natural frequencies, Modal Assurance Criterion MAC and MAC natural frequency). The results show that the best objective function is based on the natural frequency and MAC while the method of the genetic algorithm present its efficiencies in indicating and quantifying multiple damage with great accuracy. Three defects have been created to enhance damage depending on the elements 2, 5 and 8 with a percentage allocation of 50% in the beam structure which has been discretized into 10 elements. Finally the defect with noise was introduced to test the stability of the method against uncertaintyItem New approach for robust multi-objective optimization of turning parameters using probabilistic genetic algorithm(Springer, 2015) Sahali, M. A.; Belaidi, Idir; Serra, R.In this paper, a contribution to the determination of reliable cutting parameters is presented, which is minimizing the expected machining cost and maximizing the expected production rate, with taking into account the uncertainties of uncontrollable factors. The concept of failure probability of stochastic production limitations is integrated into constrained and unconstrained formulations of multi-objective optimiza- tion problems. New probabilistic version of the nondominated sorting genetic algorithm P-NSGA-II, which incorporates the Monte Carlo simulations for accurate assessment of cumula- tive distribution functions, was developed and applied in two numerical examples based on similar and anterior work. In the first case, it is a question of the search space that is completely ‘ closed ’ by high natural variability related to the multi-pass roughing operation: in this case, the failure risk of technolog- ical limitations are considered as objectives to minimize with economic objectives. The second case is related to deformed search space due to the uncertainties specific to finishing op- eration; therefore, the economic objectives are minimized un- der imposed maximum probabilities of failure. In both situa- tions, the efficiency and robustness of optimal solutionsItem The application of the graph theory to improve the algerian refineries availability(2010) Benmounah, A.; Hachemi, T.; Mebarkija, Dj.Item A new algorithm applied to the evaluation of self excited induction generator performance(2010) Kheldoun, Aissa; Bentarzi, Hamid; Refoufi, L.The paper presents the application of DIRECT algorithm to analyse the performances of the Self-excited induction generator. It is used to minimize the induction generator admittance yielding the solution which consists of the magnetizing reactance and the frequency. These parameters are the keys to find out the self excitation process requirements in terms of the prime mover speed, the capacitance and the load impedance and finally the output performances such as the voltage, output power, etc. A comparison with other powerful optimization algorithms is investigated to obtain DIRECT algorithm performancesItem Application of new optimisation algorithm to self-excited induction generator analysis(IEEE, 2013) Kheldoun, Aissa; Refoufi, Larbi; Khodja, Djalal EddineItem Firefly algorithm for optimal tuning of PID controller parameters(IEEE, 2013) Bendjeghaba, O.; Boushaki, Saida Ishak; Zemmour, N.