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From the numerous Zachmanntest results we extracted scalability models using evolutionary algorithms, which we integrated into the S2C.
A process has been defined to generate a collection of competing models, evaluate their performance in light of the currently available data, refine the best models using evolutionary search, and select the best one after a finite number of iterations.
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A suitable design was obtained through a self-developed optical mathematical model using evolutionary algorithm.
An on-line adaptive software reliability prediction model using evolutionary connectionist approach based on multiple-delayed-input single-output architecture is proposed.
Modelling techniques using evolutionary information, in particular homology/comparative modelling, developed into standardized pipelines over recent years.
The GA estimates model parameters using evolutionary principles, which requires a quality number generator.
In the recent years, many researchers have been interested in designing efficient single diode PV models using some evolutionary computation algorithms such as GA or PSO algorithm or others [6, 7].
Another challenge in using evolutionary models to study social norms is that there is a potential problem of representation.
The availability of such data in the future will be instrumental in making clinical predictions using evolutionary models of tumor progression.
Some applications are very practical, such as using evolutionary modeling to understand antibiotic resistance or the reasons why disease-causing genes persist.
Company and worker agents are designed to possess the basic attributes in order to reflect the real labor market and their activities are adaptively changed using evolutionary model.
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