Academia.eduAcademia.edu

Figure 3 – uploaded by bahdişen gezer

See full PDFdownloadDownload figure
where fis the fitness function, n is the number of atoms, ACpesr and Re,., are coefficient values regarding posi- iONpest. The Orbital-Tuner is an additional approach for eliminating the need for using initially set parameters along all iterations for a solution process. Based on the algorithmic steps, flow chart of the ES algorithm is shown in Fig. 3 [59]. nucleus, positionpes is the best nucleus position (for now), électronpes, is the best electron, as around the nucleus, pOsitiOnney, is the new position for the nucleus, Ac; is the accelerator coefficient, Re; is the Rydberg’s energy constant-coefficient. In the context of the Eq. 2, @ means the vector multiplication. The related calculations in this stage are for realizing the atom movements toward the global optimum. Re and Ac are also re-calculated via an in-system optimization stage, which is called as the Orbital-Tuner. That is done if the stopping criteria is not met, by considering the follows (their values are set randomly at the first iteration): where fis the fitness function, n is the number of atoms,

Figure 3 where fis the fitness function, n is the number of atoms, ACpesr and Re,., are coefficient values regarding posi- iONpest. The Orbital-Tuner is an additional approach for eliminating the need for using initially set parameters along all iterations for a solution process. Based on the algorithmic steps, flow chart of the ES algorithm is shown in Fig. 3 [59]. nucleus, positionpes is the best nucleus position (for now), électronpes, is the best electron, as around the nucleus, pOsitiOnney, is the new position for the nucleus, Ac; is the accelerator coefficient, Re; is the Rydberg’s energy constant-coefficient. In the context of the Eq. 2, @ means the vector multiplication. The related calculations in this stage are for realizing the atom movements toward the global optimum. Re and Ac are also re-calculated via an in-system optimization stage, which is called as the Orbital-Tuner. That is done if the stopping criteria is not met, by considering the follows (their values are set randomly at the first iteration): where fis the fitness function, n is the number of atoms,

Related Figures (15)

Fig. 1 Chemical structure of MB molecule (created with ACD/ ChemSketch software) Carob tree derives trom the UOreek Keras scientific name, ‘horn’ and Latin Jovinus, expressed in the hardness and capsule. Common name is derived from the Hebrew kharuv derived kharoub (arabic) and contains algarrobo (Spanish), carob (English), keration (in Greeek), kebir and harun (Turkish), as well as St.Jean’s bread [33, 34]. The pro- duction of locust concentrates in the Mediterranean (96%) and Izmir (5%) regions in the Aegean (4%) regions (33, 34]. In some studies, the use of carob bean for the benzodiazepine receptors has become an easy and
Fig. 1 Chemical structure of MB molecule (created with ACD/ ChemSketch software) Carob tree derives trom the UOreek Keras scientific name, ‘horn’ and Latin Jovinus, expressed in the hardness and capsule. Common name is derived from the Hebrew kharuv derived kharoub (arabic) and contains algarrobo (Spanish), carob (English), keration (in Greeek), kebir and harun (Turkish), as well as St.Jean’s bread [33, 34]. The pro- duction of locust concentrates in the Mediterranean (96%) and Izmir (5%) regions in the Aegean (4%) regions (33, 34]. In some studies, the use of carob bean for the benzodiazepine receptors has become an easy and
Fig. 2 Carobs bean gum a pods and b powder molecule is positively charged and the aromatic moiety is planar [39].
Fig. 2 Carobs bean gum a pods and b powder molecule is positively charged and the aromatic moiety is planar [39].
Table 3 Experimental real values of dye adsorbed for MB adsorption onto carob powder a three-phase scheme by inspiring from some essential physical principles. In this way, optimum value is found over the trajectory associated with progressive atoms. Algorithmic details in the context of three stages are as follows [59]: solutions, there is also an intense interest in optimization oriented tasks [51-55]. Here, Artificial Intelligence ori- ented solutions are briefly known as intelligent optimiza- tion. Intelligent optimization is a remarkable sub-field within Artificial Intelligence and thanks to solutions in that sub-field, intelligent optimization solutions for real world problems can be designed accordingly. When we consider the associated literature, it is possible to see many exam- ples of different optimization algorithms [56-58]. As a very recent technique, Electro-Search (ES) algorithm was developed by Tabari and Ahmed [59], by considering movements of orbiting electrons in the context of a molecular space. In detail, a typical ES algorithm employs
Table 3 Experimental real values of dye adsorbed for MB adsorption onto carob powder a three-phase scheme by inspiring from some essential physical principles. In this way, optimum value is found over the trajectory associated with progressive atoms. Algorithmic details in the context of three stages are as follows [59]: solutions, there is also an intense interest in optimization oriented tasks [51-55]. Here, Artificial Intelligence ori- ented solutions are briefly known as intelligent optimiza- tion. Intelligent optimization is a remarkable sub-field within Artificial Intelligence and thanks to solutions in that sub-field, intelligent optimization solutions for real world problems can be designed accordingly. When we consider the associated literature, it is possible to see many exam- ples of different optimization algorithms [56-58]. As a very recent technique, Electro-Search (ES) algorithm was developed by Tabari and Ahmed [59], by considering movements of orbiting electrons in the context of a molecular space. In detail, a typical ES algorithm employs
3 Findings from the research and discussion 3.1 Design model
3 Findings from the research and discussion 3.1 Design model
The selected model in the analysis used indicated that the relationship between the factors and the response was sufficient to determine the power [63]. ‘Adeq Precision’ measures the signal/noise ratio. For this reason a rate greater than 4 is required. In this study, the ratio of signal to noise is found to be 6.608 and 22.921, which indicates an adequate signal. For this reason, a second-order model can
The selected model in the analysis used indicated that the relationship between the factors and the response was sufficient to determine the power [63]. ‘Adeq Precision’ measures the signal/noise ratio. For this reason a rate greater than 4 is required. In this study, the ratio of signal to noise is found to be 6.608 and 22.921, which indicates an adequate signal. For this reason, a second-order model can
Table 7 ANOVA analysis for of Table 3 micro-pores, rather than macro-pores. The importance of adsorption can be understood from the fact that the porous structure is 1 um in size [64]. The surface of the treated carob powder has a polished, smooth and glossy appear- ance. But if the broken part is examined, marine, and fibrous structure can be seen accordingly. be used to navigate the design area. In Fig. 4, the devel- oped model was found to be sufficient. Because most of the reactions predict less than 10% of residuals and show that the residues are close to true.
Table 7 ANOVA analysis for of Table 3 micro-pores, rather than macro-pores. The importance of adsorption can be understood from the fact that the porous structure is 1 um in size [64]. The surface of the treated carob powder has a polished, smooth and glossy appear- ance. But if the broken part is examined, marine, and fibrous structure can be seen accordingly. be used to navigate the design area. In Fig. 4, the devel- oped model was found to be sufficient. Because most of the reactions predict less than 10% of residuals and show that the residues are close to true.
Fig. 4 Dispersion diagram for the real answer to the dye—carob powder adsorption system
Fig. 4 Dispersion diagram for the real answer to the dye—carob powder adsorption system
Coefficient estimate Sum of squares Df Mean square F value Prob>F Remark 3.4 Impact of two parameters on MB of carob powder
Coefficient estimate Sum of squares Df Mean square F value Prob>F Remark 3.4 Impact of two parameters on MB of carob powder
Figure 6a shows the 3D plots of pH and impact of paint adsorbed at different p frequency. The H ranges was examined under different fixed pH parameters (Fig. 6). There was an increase in the pH change of t from 2 to 8 due to removal of MB with There was an increase in the adsorption rate of MB on the carob bean according to the increase of pH ious studies, it was generally expressed that MB attraction increases with increasing pH [65, 66]. It is electrostatic attraction between the dye composition and the carob surface increases with increasing pH. Thus, at high pH values, the electrostatic repulsion between the negatively charged surface of the adsorbent and the MB he dye solution carob powder. value. In var- likely that the
Figure 6a shows the 3D plots of pH and impact of paint adsorbed at different p frequency. The H ranges was examined under different fixed pH parameters (Fig. 6). There was an increase in the pH change of t from 2 to 8 due to removal of MB with There was an increase in the adsorption rate of MB on the carob bean according to the increase of pH ious studies, it was generally expressed that MB attraction increases with increasing pH [65, 66]. It is electrostatic attraction between the dye composition and the carob surface increases with increasing pH. Thus, at high pH values, the electrostatic repulsion between the negatively charged surface of the adsorbent and the MB he dye solution carob powder. value. In var- likely that the
adsorption. Thus, the amount of adsorbed paint is reduced [67]. The increase in temperature affect the reaction of the adsorption studied. The impact of MB on the carob bean adsorption rate was researched at temperatures of 25 °C, 35 °C, and 45 °C. It is known that the adsorbent molecules raise the diffusion rate along the inner pore of the outer boundary layer. It can be seen in Fig. 6d, e, a rise can be seen in the biosorption capacity of the locust powder [68]. dye ions begins. In addition, the inability to form pi-bonds results in a marked reduction in the removal of the aqueous solution from the dye. In this study, chemical absorption suggests that MB is effective in adsorbing carob powder. The MB dye adsorption rate was investigated for three different particle sizes (50 um, 100 um, and 150 pm) of the carob powder while keeping the other parameters constant at each step of the experiment. Relation between particle size and the dye adsorption is shown in Fig. 6b, c. It has been examined that there is sharply increase in dye adsorption rate according to the particle size decline. Most of the particle interior surface cannot be used for boundary layer. It can be seen in Fig. 6d, e, a rise can be een in the biosorption capacity of the locust powder [68] The concentration of the solution is an important parameter [30, 69]. Adsorption of carob powder adsorbate was evaluated at different time intervals. Figure 6f shows the impact the carob bean at different starting MB
adsorption. Thus, the amount of adsorbed paint is reduced [67]. The increase in temperature affect the reaction of the adsorption studied. The impact of MB on the carob bean adsorption rate was researched at temperatures of 25 °C, 35 °C, and 45 °C. It is known that the adsorbent molecules raise the diffusion rate along the inner pore of the outer boundary layer. It can be seen in Fig. 6d, e, a rise can be seen in the biosorption capacity of the locust powder [68]. dye ions begins. In addition, the inability to form pi-bonds results in a marked reduction in the removal of the aqueous solution from the dye. In this study, chemical absorption suggests that MB is effective in adsorbing carob powder. The MB dye adsorption rate was investigated for three different particle sizes (50 um, 100 um, and 150 pm) of the carob powder while keeping the other parameters constant at each step of the experiment. Relation between particle size and the dye adsorption is shown in Fig. 6b, c. It has been examined that there is sharply increase in dye adsorption rate according to the particle size decline. Most of the particle interior surface cannot be used for boundary layer. It can be seen in Fig. 6d, e, a rise can be een in the biosorption capacity of the locust powder [68] The concentration of the solution is an important parameter [30, 69]. Adsorption of carob powder adsorbate was evaluated at different time intervals. Figure 6f shows the impact the carob bean at different starting MB
Table 9 Optimum values of different parameters obtained by the ES algorithm
Table 9 Optimum values of different parameters obtained by the ES algorithm
Table 10 Optimum values of different parameters obtained by the alternative algorithms point, findings by the ES algorithm have been found better than the other intelligent optimization algorithms. In addition to the performed study, there are also some future works planned by the authors. In this sense, it is planned to use alternative solutions for determining opti- mum values and using more Artificial Intelligence support within future research. Furthermore, it is also aimed to run the same solution approach for alternative extraction problems, which are i more consideration wi mportant for the literature. Here, 1 always be given green solutions for better ecological balance and sustainability.
Table 10 Optimum values of different parameters obtained by the alternative algorithms point, findings by the ES algorithm have been found better than the other intelligent optimization algorithms. In addition to the performed study, there are also some future works planned by the authors. In this sense, it is planned to use alternative solutions for determining opti- mum values and using more Artificial Intelligence support within future research. Furthermore, it is also aimed to run the same solution approach for alternative extraction problems, which are i more consideration wi mportant for the literature. Here, 1 always be given green solutions for better ecological balance and sustainability.
Related topics:
Computer ScienceDistributed ComputingMaterials ScienceIntelligent Optimization
580 California St., Suite 400
San Francisco, CA, 94104
© 2025 Academia. All rights reserved