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The second evaluates the metaheuristic for its performance to solve some large-sized instances.
Lee et al. (2012) proposed a novel hybrid Ant Clony (AC)/SA approach having outstanding performance to solve the SDFLP.
Third, A-ENS is more helpful for Two_Arch2 than KnEA in improving their performance to solve MaOPs.
Besides, Quadratic Migration Model's performance for MOPs is worse, while it has a good performance to solve SOPs.
In many cases approximate query results are acceptable to users, therefore we developed approximate algorithms with much better performance to solve the SDH problem.
High-performance computing refers to supercomputers and computer clusters like data centers that are trying to achieve maximum performance to solve complex computations or process large amounts of data.
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A simple but costly solution would be the use of high performance computers to solve the complex problems.
Use of the harmony search (HS) as a high performance algorithm to solve the formulated discrete optimization problem, without the need for any clustering method.
4) Use of the harmony search (HS) as a high performance algorithm to solve the formulated discrete optimization problem, without the need for any clustering method.
This chapter provides an overview of some features that are used to improve processor performance or to solve certain design problems.
This study also investigates the effect of replacing components of the selection parameters (i.e. design parameters) with performance indices to solve the same problem.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com