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- 저자 : El-Refaey, A. (검색결과 3 건)
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A hybrid genetic–firefly algorithm for engineering design problems
El-Shorbagy M A,El-Refaey Adel M 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.2
Firefly algorithm (FA) is a new random swarm search optimization algorithm that is modeled after movement and the mutual attraction of flashing fireflies. The number of fitness comparisons and attractions in the FA varies depending on the attraction model. A large number of attractions can induce search oscillations, while a small number of attractions can cause early convergence and a large number of fitness comparisons that can add to the computational time complexity. This study aims to offer H-GA–FA, a hybrid algorithm that combines two metaheuristic algorithms, the genetic algorithm (GA) and the FA, to overcome the flaws of the FA and combine the benefits of both algorithms to solve engineering design problems (EDPs). In this hybrid system, which blends the concepts of GA and FA, individuals are formed in the new generation not only by GA processes but also by FA mechanisms to prevent falling into local optima, introduce sufficient diversity of the solutions, and make equilibrium between exploration/exploitation trends. On the other hand, to deal with the violation of constraints, a chaotic process was utilized to keep the solutions feasible. The proposed hybrid algorithm H-GA–FA is tested by well-known test problems that contain a set of 17 unconstrained multimodal test functions and 7 constrained benchmark problems, where the results have confirmed the superiority of H-GA–FA overoptimization search methods. Finally, the performance of the H-GA–FA is also investigated on many EDPs. Computational results show that the H-GA–FA algorithm is competitive and better than other optimization algorithms that solve EDPs.
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Ibrahim A. Salem,Gaafar A. El Bahariya,Bothina T. El Dosuky,Eman F. Refaey,Ahmed H. Ibrahim,Amr B. ElDeeb 한국분석과학회 2024 분석과학 Vol.37 No.1
Abu Gurdi area is located in the South-eastern Desert of Egypt which considered as volcanic massivesulfide deposits (VMS). The present work aims at investigating the ore mineralogy of Abu Gurdi region inaddition to the effectiveness of the hydrometallurgical route for processing these ores using alkaline leachingfor the extraction of Zn, Cu, and Pb in the presence of hydrogen peroxide, has been investigated. The factorsaffecting the efficiency of the alkaline leaching of the used ore including the reagent composition, reagentconcentration, leaching temperature, leaching time, and Solid /Liquid ratio, have been investigated. It was notedthat the sulfide mineralization consists mainly of chalcopyrite, sphalerite, pyrite, galena and bornite. Gold isdetected as rare, disseminated crystals within the gangue minerals. Under supergene conditions, secondary copperminerals (covellite, malachite, chrysocolla and atacamite) were formed. The maximum dissolution efficienciesof Cu, Zn, and Pb at the optimum leaching conditions i.e., 250 g/L NaCO3 - NaHCO3 alkali concentration,for 3 hr., at 250℃, and 1/5 Solid/liquid (S/L) ratio, were 99.48 %, 96.70 % and 99.11 %, respectively. Anapparent activation energy for Zn, Cu and Pb dissolution were 21.599, 21.779 and 23.761 kJ.mol−1, respectively,which were between those of a typical diffusion-controlled process and a chemical reaction-controlled process. Hence, the diffusion of the solid product layer contributed more than the chemical reaction to control the rateof the leaching process. High pure Cu(OH)2, Pb(OH)2, and ZnCl2 were obtained from the finally obtained leachliquor at the optimum leaching conditions by precipitation at different pH. Finally, highly pure Au metal wasseparated from the mineralized massive sulfide via using adsorption method.
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