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Discover Ludwig"premature convergence" is a correct and usable phrase in written English.
It refers to a situation in which something reaches a conclusion or end point prematurely or before it should, often resulting in negative consequences. This phrase is commonly used in fields such as computer science, genetics, and economics. Example: "The algorithm was designed to prevent premature convergence, but the unexpected spike in data caused it to stop optimizing the solution too early." In this sentence, "premature convergence" is used to describe the problem with the algorithm reaching a conclusion too soon, which was not intended.
Exact(60)
Secondly, PSO suffers premature convergence.
Therefore, premature convergence can be prevented in these methods.
Simulated annealing is adopted to prevent premature convergence.
Furthermore, a mutation strategy is designed to avoid premature convergence.
However, it lacks internal memory which may lead to its premature convergence to local optima.
Simultaneously, this selection can also keep the population diversity to make EDA avoid premature convergence.
However, PSO often leads to premature convergence, especially in complex multi-peak search problems.
However, IGA with deterministic mutation factor suffers from the problem of premature convergence.
This helps the diversity of the swarm to be preserved in order to discourage premature convergence.
Meanwhile, clonal operator and Cauchy mutation are integrated into the proposed algorithm to avoid premature convergence.
This also aids the algorithm to escape from local optima thereby avoiding premature convergence.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com