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evolutionary methods

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "evolutionary methods" is correct and usable in written English.
You can use it in contexts related to biology, computer science, or any field that involves processes of change or adaptation over time. Example: "The researchers employed evolutionary methods to optimize the algorithm for better performance."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

"If government is changed not by evolutionary methods, but revolutionary methods, this is a catastrophe," he said, adding that Mr. Putin "is the only choice.

News & Media

The New York Times

The aforementioned evolutionary methods are combined in a parallel architecture.

The results of the proposed approach are compared with those obtained by other evolutionary methods.

To overcome these drawbacks, evolutionary methods are presently getting into the mainstream.

In the recent years, the application of evolutionary methods for multiobjective optimization is becoming popular.

The test results are compared with those obtained by other evolutionary methods reported in the literature.

The use of evolutionary methods to generate controllers for real-world autonomous agents has attracted recent attention.

Evolutionary methods, genetic algorithms (GA) and simulated annealing (SA), are used to perform the optimisation.

Evolutionary methods to improve strain performance are a powerful complement to rational, predictive strain engineering.

Evolutionary methods are a powerful and robust tool for the solution of structural shape optimization problems.

The chapter outlines that the way forward must incorporate evolutionary methods.

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Expert writing Tips

Best practice

Employ "evolutionary methods" when referring to algorithms that iteratively improve solutions through processes like mutation and selection.

Common error

Avoid using "evolutionary methods" as a blanket term for all iterative processes. Ensure the methods genuinely incorporate principles of evolution, such as selection and adaptation.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

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80%

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Real-world application tested

Linguistic Context

The phrase "evolutionary methods" functions primarily as a noun phrase. It refers to a set of computational and analytical techniques inspired by biological evolution. According to Ludwig, the phrase is correct and usable in written English, indicating its acceptance in various contexts.

Expression frequency: Very common

Frequent in

Science

85%

News & Media

7%

Formal & Business

3%

Less common in

Encyclopedias

1%

Wiki

1%

Reference

1%

Ludwig's WRAP-UP

In summary, "evolutionary methods" is a grammatically sound and widely used noun phrase that describes techniques inspired by biological evolution, as confirmed by Ludwig. These methods are most commonly applied in science and technology, particularly in the context of optimization and modelling complex systems. While versatile, it's important to use the phrase accurately, ensuring the methods genuinely incorporate evolutionary principles. Consider alternatives like "adaptive strategies" or "optimization algorithms" depending on the specific context. Given its prevalence in technical and scientific domains, maintaining precision in its application is crucial.

FAQs

What are some examples of "evolutionary methods" in computer science?

Common examples include "genetic algorithms", "particle swarm optimization", and "simulated annealing", which are used for optimization and problem-solving.

How do "evolutionary methods" differ from traditional optimization techniques?

"Evolutionary methods" are population-based and stochastic, whereas traditional methods often rely on gradient descent or deterministic approaches. Evolutionary algorithms explore a wider solution space and can handle non-differentiable functions.

In what fields are "evolutionary methods" typically applied?

"Evolutionary methods" are used in various fields, including computer science, engineering, biology, and economics, for tasks such as optimization, machine learning, and modeling complex systems.

What is an alternative to using the phrase "evolutionary methods"?

Depending on the context, you can use "adaptive strategies", "evolutionary techniques", or "optimization algorithms" to convey a similar meaning.

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