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This paper presents an optimization method that approaches optimal SPT system design through the coupling of a Particle Swarm Optimization algorithm and a Monte Carlo algorithm, in order to assess both the yearly heliostat field optical efficiency and the thermal energy collected annually by an SPT system.
SVM, especially when the feature set is optimized by dimensionality reduction, is a sensitive classification method that approaches the performance of the theoretical optimal classifier for classifying visual fields [ 16, 18, 24, 25].
In this paper, a new method that approaches the problem from the perspective of frequency marginals is introduced.
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The literature is rich with methods that approach this problem for a variety of purposes.
Part I of this paper evaluates three contemporary analytical interference methods that approach these problems from different perspectives.
The robustness of the translation apparatus is known since the fifties, and latest technical improvements made to cell-free translation resulted in protein production methods that approach the efficiency of cell-based systems [ 3].
Whether and when to approach the US authorities, and the method of that approach, is an operational matter for the investigators concerned".
In this work, we present an improved method that combines these approaches to find the lower bound on the energy for a target conformation.
For both processes, controllers were designed that yielded higher profit than standard control methods and that approached the highest possible profit achieved by frequent real-time optimization.
The most popular parallel method that uses this approach is ClustalW-MPI [ 17].
GLEAM is a regression method that extends the current approaches in various ways.
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