Evolutionary algorithms (EAs) are popular in solving a diversity of problems, but current algorithm design approaches typically require formulating an algorithmic structure for each individual problem.
The most commonly-used tools of variational calculus, the Euler-Lagrange equations [ 24, 25], require formulating the integral in terms of a time-dependent function and its first derivative, and then varying that function to make the integral an extremum.
To design heterogonous embedded microsystems using hardware-software codesign methodology, there is required formulated, mathematic model that describes complete system functionality, its properties and configuration.
Since constructing a "biorobot" first requires exactly formulating the biological principles presumably involved, it gives us a unique opportunity of checking the soundness and robustness of these principles by bringing them face to face with the real physical world.
However, greater care is required in formulating research questions and experimental designs.
This requires to formulate a signal model that describes the communication of the preamble and to determine the arithmetic operations that each algorithm performs.
We analyze the model by the number of binary and continuous variables as well as the number of constraints required in formulating the problem.
In my earlier paper, Locking the Doors to Discovery, I argued that in doing so, special care is required in formulating the object of empirical study.
In some items, reverse of polarity might be required before formulating the facet scores.
In general, Zr-based thin film coatings do not require special formulated oil formulations and Zr(C,N) bear on a straight coating architecture suited for mass production with nanosized layers.
