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The research on optimal design of infinite-impulse response (IIR) filter design based on various optimization techniques, including evolutionary algorithms (EAs), has gained much attention in recent years.
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Fister et al. [23] developed a hybrid BA based on various evolution strategies for solving optimization tasks, while Baziar et al. [24] proposed a modified BA based on adaptive self-strategy.
A number of on-line optimization approaches for output-feedback NMPC based on various black-box models can be found in the literature.
Although various studies on MAGLEV-guideway behaviour have been reported in literatures based on various theoretical methods, the solution in a block diagram environment has not been attempted for increased ride quality by optimization of the suspension parameters.
This differentiation is based on various reasons.
These selections are based on various criteria.
Based on this observation, various optimization schemes are employed to search for the optimal threshold values so that the generated binary feature image can lead to better signatures.
The approaches are classified based on the various aspects of optimization, various possible problem formulations, and types of datasets modeled.
However, studies based on its optimization for production of laccase under various physico-chemical and nutritional conditions are still negligible.
In "Robust optimization", scenario-based robust approach based on Mulvey robust optimization has been expressed briefly.
Based on the optimization results of simplex PCR, multiplex PCR reaction parameters were optimized.
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