A diagram for structural optimizations is obtained, by which the optimized Si@void@C NPs are synthesized and found to have improved capacity and capacity retention compared to the unoptimized ones.
Results of the mathematical model in form of a multi-objective optimization, were obtained through augmented ε-constraint method.
In addition, the optimum reaction conditions for multi-response optimization were obtained, under which all three responses were expected to exhibit a relatively good performance.
The proposed parameters optimization is obtained using genetic algorithms.
Area optimization is obtained in synthesis through logic sharing.
Experimental data for use in design analysis and optimization is obtained via a measurement test.
The method of design-ballistic optimization is obtained as an iterative procedure.
The shape optimization is obtained by combining shape derivative with level set method.
After the preliminary optimization which utilizes NN, the result of optimization is obtained within narrowed optimization bounds obtained from the results of surrogate based optimization.
The optimum values of the number and radius of the indentations, the taper angle, the tube thickness and the cross section using a combination of response surface (RS) model, genetic algorithm and desirability function optimization are obtained.
