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Genetic algorithm based strategy is used to obtain optimum orientation of the parts for RP process.
The internal model control based strategy is used to improve robustness for communication delays of the secondary level.
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PCR based strategies were used for genotyping and the following PCR primers were used to detect Pik3c3- (deleted) allele: L1, 5'- AACTGGATCTGGGCCTATG-3'; L2 5'-GAAGCCTGGAACGAGAAGAG-3'; L3, 5'-CACTCACCTGCTGTGAAATG-3'.
Several evidence based strategies were used to maximise the response rate.
A fuzzy logic based strategy is also used to select the best compromised solution on the Pareto front.
Next, a feedback based tuning strategy is used to precisely tune the vibration absorber for performance maximization.
A statistically based optimization strategy is used to optimize the carbothermal reduction technology for the synthesis of LiFePO4/C using LiOH, FePO4 and sucrose as raw materials.
A two-stage decomposition based solution strategy is used to solve the optimization problem with genetic algorithm performing the search on the first stage variables and a Monte Carlo method dealing with uncertainty in the second stage.
The main focus of this paper is to present a model for a voltage source rectifier which is connected to a PM generator in a micro turbine unit, where Virtual Flux based Direct Power Control strategy is used to control the mentioned rectifier.
A PCR based strategy was followed making use of the deletion region primers to understand the genome level differences between the type strain H37Rv and the clinical isolates of M. tuberculosis from Kerala.
Next, a computational intelligence (CI) based hybrid strategy was used to model and optimize the resin-based adsorption of As III) and As V) ions for securing optimal reaction conditions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com