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Optimization problems that arise in energy systems design often have several features that hinder the use of many optimization techniques.
Genetic algorithms are part of a family of heuristic optimization techniques that are nature inspired, and unlike many optimization techniques, are derivative-free.
However, many optimization techniques are easily parallelizable.
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This innate ability is a prominent advantage that the newly developed framework possesses over many optimization based techniques as it leads to designs that require fewer SPoT terms and filter taps.
While linear programming is a very valuable tool and an important part of operations research, there are many other optimization techniques, including nonlinear, integer, dynamic, and geometric programming.
Recently, many promising optimization techniques have been developed based on the Differential Evolution originally proposed by Storn and Price in [ 29, 30].
Many of the optimization techniques applied for the DSP are quite similar for all stages.
In addition to the GA, there are many other global optimization techniques that can be applied to the pinned field image binarization in the proposed image signature method.
The algorithm is based on the Davis-Putnam-Logemann-Loveland sequential algorithm, but includes many of the optimization techniques introduced in recent years.
Since the main motivation and justification of allowing D2D communications in cellular spectrum is ultimately to harvest some capacity, sum-rate or sum-power gain, many articles apply optimization techniques to explore the potential of cellular D2D communications [14 16, 19].
Based on optimization techniques, many algorithms have been proposed to mine different portfolios.
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