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By solving this optimization problem, it has been shown that an optimal reactor length exists.
Secondly, the robust controllers satisfying the requirements can be designed by solving this optimization problem.
We determine new VM placement by solving this optimization problem that also allows migration of the VMs of unfinished jobs in the system.
First, by solving this optimization problem on only the time frequency points selected by the multisource procedure propounded in Section "Weak-sparseness-based time frequency detection for source recovery (multisource selection)".
By solving this optimization problem, a solution which selects the changes in μ a in small localized region is obtained.
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The quadratic minimization problem is converted to a LMI formulation and the reset law is determined by solving this LMI optimization problem at certain reset times.
We solve this optimization problem by obtaining the derivatives of the function of the total additional payment surplus.
As opposed to the universal dual decomposition we present a method that solves this optimization problem by fully exploiting our knowledge of active constraints.
The present work proposes to solve this optimization problem by employing a contemporary population-based evolutionary optimization strategy, called the Bacterial Foraging Optimization (BFO) algorithm.
The programming model has a large number of decision variables, as a result, it will take hours to solve this optimization problem by employing the intelligent optimization algorithm, such as genetic algorithm, particle swarm algorithm and so on.
Physicochemical property mining module (PCP mining module) solved this optimization problem by utilizing an inheritable bi-objective combinatorial optimization genetic algorithm (IBCGA).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com