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The synthesis of a good flowsheet for a multicomponent separation problem constitutes a formidable task even for a small scale problem.
Prominent cases such as the Birmingham six, Guildford Four, Bridgewater four, M25 three, Cardiff three, Stephen Downing, and so on create the impression that miscarriages of justice are seen as very much an intermittent, high profile and small scale problem; that there are very few victims in the context of the statistics of all criminal convictions.
The optimization toolbox in Matlab is used that calls the solver by syntax intlinprog to solve MILP for this small scale problem.
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This type of algorithm is successful for small scale problems, but it has some critical limitations for real applications.
It was shown that the proposed method was as accurate as the literature methods for small scale problems, but performed better for large scale problem applications.
The computation results show that the proposed method is able to get optimal solutions for small scale problems and near optimal solutions within limited computation time for large scale problems.
Putting systems in place can successfully deal with small scale problems, thus avoiding looming future problems.
We first conducted simulations for small scale problems, with 3 4 sensor nodes and 7 10 tasks with maximum 2 predecessors.
For small scale problems, algorithms with low or high complexity do not differ much from each other.
Although an optimal solution can be obtained using the formulation in "Mathematical formulation" section, this is only feasible for small scale problems.
To validate the proposed algorithm, some small scale problems are solved by exact solutions and the answers are compared with the answers of the proposed genetic algorithm.
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CEO of Professional Science Editing for Scientists @ prosciediting.com