Figure 3 Influence of increasing diesel price on optimal solution, Colombian case study.
In order to demonstrate the optimal model, a case study is adopted.
The influence of diesel price variations is examined in detail in Figures 2 and 3. Figure 2 Influence of increasing diesel price on optimal solution, Indian case study.
The optimal results for the case study indicate that the optimal biomass gasification based BCHP system saves 45.4% ATC and reduces 90.4% CO2 emission than the SP system.
Here, the global optimization of an adsorption case study with conflicting optimal solutions based on multi-objective Response Surface Methodology (RS M design is facilitated with the implementation of BARON solver based on General Algebraic Modeling System (GAMS) with identical factor variables, levels, and model equations.
As a case study, optimal architectures of branching programs are found for a set of benchmark tasks.
Finally, to avoid unnecessarily higher training thresholds and their resulting impact on the defined AD, k = 15 was considered as an optimal choice for this case study.
When applied to the real case study, optimal solutions identified by MOGA ANN are obtained 25 times faster than those identified by the full model without significant decrease in the accuracy of the final solution.
It is anticipated that further sensitivity analyses need to be conducted for other input variables, including attribute scores and the utility functions for each attribute, in addition to weighting factors for attributes to suggest more robust optimal systems for this case study.
Eventually, by identifying the optimal PA approach i.e., 360-degree feedback, the selected optimal method employed in the case study and results are demonstrated and described with a comprehensive example.
