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DE is one of the best-performing evolutionary algorithms frequently used for optimization tasks, which often results in the optimal solution in shorter steps as compared to other optimization algorithms.
We formulate the CBS problem into an optimization problem and analyze the cooperation scope (CS) in the optimal solution.
Savings about 95% were obtained when one variable speed pump group was included in the optimal solution.
The difference in solution quality is most pronounced for difficult problems requiring multiple identical plates in the optimal solution.
The data contain errors (observation and background errors), hence there will be errors in the optimal solution.
In the present work, reliability and availability are introduced in the developed models of the system, so that redundancy is embedded in the optimal solution.
Finally, we prove a sufficient condition to guarantee unique contracts in the optimal solution for a general number of retailer types.
These terms explicitly account for the competing design drives of the problem and enables trade-offs to become clear in the optimal solution.
This allows to give confidence in the optimal solution, in finding a set of zones that presumably will give an acceptable solution.
In the present work, reliability and availability are introduced in the thermoenvironomic model of the system, so that redundancy is embedded in the optimal solution.
In addition, the characterization of the main masking layers, including photoresist, amorphous silicon, polysilicon and Cr/Au for deep wet etching in the optimal solution, is described.
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