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Our previous work proposed a combined use of analytical optimization techniques and evolutionary algorithms to efficiently identify an optimal set of design alternatives with respect to performance and costs.
Generally, these optimization problems can be regarded as a class of complex combinatorial problems that cannot be mathematically modeled, and be solve with analytical optimization algorithms or they may result in a local optimal solution.
After that, MREKLM adopts an analytical optimization approach to directly deal with multi-class problems.
This fact makes the problem non-derivable, preventing the use of classical analytical optimization techniques.
Correlation filters for target detection are usually designed by analytical optimization of performance criteria.
The paper presents a generalization of multi-dimensional linear regression to facilitate multi-sensor fault detection and signal reconstruction through the use of analytical optimization.
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Analytical optimizations and numerical simulations are applied to enhance power transferring through a metal insulator metal (MIM) plasmonic junction.
It enables semi-analytical optimization for reactive engines with no need to model the detailed combustion dynamics.
Findings from hybrid simulation-analytical optimization approach give invaluable knowledge to the company for the re-designing and control of current manufacturing system to increase its productivity.
In this context, the key concept of Design Space DSS) was introduced in the field of analytical method optimization.
Since the models are simple in form they can be applied to analytical problems, optimization, scaling, and design.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com