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The optimal Youla parameter is finally obtained by solving this optimisation problem.
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The optimal operating parameters (feed flow rate, feed pressure) and design parameters (internal diameter, total number of tubes) are determined by solving the optimisation problem using an efficient successive quadratic programming (SQP) based method.
The optimal operating parameters (feed flux, feed pressure) and design parameters (internal diameter, total number of tubes) are determined by solving the optimisation problem using an efficient successive quadratic programming (SQP) based method.
GA is chosen to solve this optimisation model due to its capability in solving many large and complex optimisation problems compared with other heuristic methods.
A discrete particle swarm optimisation algorithm is designed in order to solve this optimisation problem and compute an alignment of two ontologies.
Hence, multivariable PID controllers can be designed by solving an optimisation problem with bilinear matrix inequalities (BMIs).
The TMD parameters are tuned by solving an optimisation problem such that an effective reduction of the accelerations under realistic walking scenarios is ensured.
The minimum recourse costs can be determined then by solving an optimisation problem having a quadratic objective function and linear constraints.
The optimal reactor temperature profiles are obtained by solving dynamic optimisation problems off-line to achieve maximum conversion to the desired product.
The bounds are calculated by solving an optimisation problem for maximizing and minimizing the flux of each reaction iteratively.
To face these situation, marginal and conditional possibility distributions (and intervals) can be obtained, again, by solving linear optimisation problems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com