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Thus, quality improvement procedures become more personal and more effective.
We introduce a new mathematical layout model and develop several improvement procedures.
Local improvement procedures (LIP), i.e. insertion and swap, are embedded in the PSO algorithm in order to further improve the solution quality.
Simulation tests indicate that the improvement procedures yield substantial efficiencies over more naı̈ve scheduling methods and that the system will be effective in real-time applications.
Then a two-step procedure containing construction and improvement procedures of pair-wise exchange process is used to obtain the layouts.
The proposed approach, named RVNS-VNS, involves two efficient improvement procedures: Local Search Deletion and Steepest-descent Hill Climbing, which help the algorithm converge to high-quality solutions.
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An iterative improvement procedure is introduced to improve the solution.
We then improve this initial design by an SA (Simulated Annealing) based improvement procedure to achieve a better load balance result.
Only this value and not the total exergy destruction should be considered during the improvement procedure.
In the route improvement procedure, a series of inter- and intra-route improvement algorithms are applied.
In their research, the variable neighborhood search was used as an improvement procedure in the last step of the genetic algorithm.
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