A hybrid numerical approach for multi-responses optimization of process parameters and catalyst compositions in CO2 OCM process over CaO-MnO/CeO2 catalyst

Experimental study and optimization of heavy liquid hydrocarbon thermal cracking to light olefins by response surface methodology

“…RSM is a set of techniques designed to find the optimum value of response and the influencing factors. It has been successfully applied in the field of experimental work [13][14][15].…”

Modelling and optimization of catalytic–dielectric barrier discharge plasma reactor for methane and carbon dioxide conversion using hybrid artificial neural network—genetic algorithm technique

“…Detail theory about Pareto optimal solution is available elsewhere (Istadi and Amin, 2005a). The detail stepwise procedure for the hybrid ANN-GA algorithm for modelling and optimization is depicted schematically in Fig.…”

“…The catalyst composition (12.8 wt.% CaO-6.4 wt.% MnO/CeO 2 ) used in this plasma DBD reactor is based on the optimization results as described elsewhere (Istadi and Amin, 2005a). The catalyst was prepared by simultaneous impregnation method.…”

“…It can be remarked in the above formulation that the problems belongs to multi-objectives optimization, which is simultaneously maximization of f k (x * , W, b) where k represents the number of objective functions. A simple approach to solve the multi-objectives optimization problem is by aggregating the objectives into a single-objective function namely weighted sum of squared objective function (WSSOF) algorithm (Istadi and Amin, 2005a). In the WSSOF method, each objective function is multiplied by a weighting coefficient (w k ) and combined to form a single scalar objective function to be maximized.…”

Different Tools on Multi-Objective Optimization of a Hybrid Artificial Neural Network – Genetic Algorithm for Plasma Chemical Reactor Modelling

“…The detail hybrid algorithm for simultaneous modelling and multiobjective optimization has been developed in previous publication which focused on plasma reactor application (Istadi & Amin, 2005, 2006, 2007. They reported that the hybrid ANN-GA technique is a powerful method for process modelling and multi-objectives optimization (Nandi et al, 2002(Nandi et al, , 2004Ahmad et al, 2004;Stephanopoulos & Han, 1996;Huang et al, 2003;Radhakrishnan & Suppiah, 2004;Fissore et al, 2004;Nandi et al, 2002Nandi et al, , 2004Ahmad et al, 2004;Kundu et al, 20009;Marzbanrad & Ebrahimi, 2011;Bhatti et al, 2011).…”