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Another area of improving the solution quality of metaheuristics is finding the optimal combination of algorithm control parameters.
Chou (2013) has proposed a cocktail decoding method capable of improving the solution quality of any algorithm incorporated with PSO for solving FFSP with multi-processor tasks.
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The objective of this paper is to improve the solution of this problem by means of exact and heuristic methods.
Moreover, a prescribed number of inflation layers on the wall surfaces was used to improve the solution of the thermal gradients.
The security of the grid in different conditions are analyzed and the solutions of improving the security of networks are proposed.
The results demonstrate that the proposed method is capable of improving the robustness of Pareto solutions within the prescribed minimum requirements of reliability.
The 2-opt local search heuristic is generally used to improve the solutions of the hard optimization problems.
The possibility of improving the accuracy of the approximate solution by using more computational effort is also indicated through a simple example.
It is uncertain whether the modification of x k could improve the solution x →, particularly when D is large.
A fitness function is used on each generation of algorithms to gradually improve the solutions in analogy to the process of natural selection.
In the case of improving AFM, the fsQCA solution paths incorporated only one of the 10 cases exhibiting this outcome (i.e., Brazil).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com