adaptive optimization

USAGE SUMMARY

The phrase "adaptive optimization" is correct and usable in written English.
It can be used in contexts related to technology, algorithms, or processes that adjust and improve performance based on changing conditions or data. Example: "The software employs adaptive optimization techniques to enhance its performance in real-time."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

54 human-written examples

Figure 10 Examples of optimal reservation price functions obtained in adaptive optimization.

Forest Ecosystems

The structural size of stiffeners on the side plate was optimized under multiple frequencies constraints and an adaptive optimization criterion was given.

Procedia Earth and Planetary Science

The solutions of the adaptive optimization problems were also simulated so that the optimized value of parameter a 1 (thinning type) of the thinning intensity curve (Equation 6) was replaced by 1, corresponding to high thinning.

Forest Ecosystems

Margin adaptive optimization maximizes the total rate over multi-code parallel channels by optimizing the transmission power such as [24, 25] and is explored in terms of minimizing weighted MSE [20, 21] within a power constraint.

EURASIP Journal on Wireless Communications and Networking

The GCLP algorithm computes a mapping by using an adaptive optimization objective at each iteration.

University of California, Berkeley

An adaptive optimization method is presented, in which the local neighbors are updated correspondingly.

Neurocomputing

Human-verified similar examples from authoritative sources

Similar Expressions

6 human-written examples

Simple, intuitive adaptive optimization 15.

Stanford University

"Covariate-Adaptive Optimization in Online Clinical Trials". Bertsimas, Dimitris, Nikita Korolko, and Alexander M. Weinstein.

Massachusetts Institute of Technology

Background and Purpose: A tumor subvolume-based, risk-adaptive optimization strategy is presented.

International Journal of Radiation Oncology*Biology*Physics

Since automatic segmentation algorithms are sensitive to the image characteristics, we designed a self-adaptive optimization system for an automated cardiac left ventricular contour detection algorithm.

International Congress Series

Automatic Design of Algorithms through Evolution (ADATE) is a program synthesis system that creates recursive programs in a functional language with automatic invention of recursive help functions and self-adaptive optimization of numerical values.

Neurocomputing

Expert writing Tips

Best practice

When describing a system that continuously improves its performance based on incoming data, use "adaptive optimization" to emphasize its real-time adjustment capabilities.

Common error

Avoid using "adaptive optimization" when the system only adjusts parameters based on a pre-defined set of rules, without learning from new data. In such cases, consider using terms like "parameter tuning" or "rule-based adjustment" instead.

Linguistic Context

The phrase "adaptive optimization" functions as a noun phrase, often acting as a subject or object in a sentence. It refers to a process or technique that adjusts its parameters or strategies dynamically to achieve optimal results, as seen in Ludwig's examples across various domains.

Expression frequency: Very common

Frequent in

Science

60%

Academia

25%

News & Media

10%

Less common in

Formal & Business

3%

Encyclopedias

1%

Wiki

1%

Ludwig's WRAP-UP

In summary, "adaptive optimization" is a frequently used and grammatically sound phrase, particularly prevalent in scientific and academic contexts. It describes a dynamic process that adjusts to achieve optimal outcomes. As confirmed by Ludwig AI, the phrase is appropriate for describing systems and algorithms that learn and improve over time. When using this phrase, ensure the context aligns with the concept of real-time adjustment and learning. Consider alternatives like "dynamic optimization" or "flexible optimization" for nuanced meanings. Understanding the scope and purpose of this term will help ensure clarity and precision in your writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

dynamic optimization

Emphasizes the changing nature and real-time adjustment of the optimization process.

flexible optimization

Highlights the capacity to adjust and adapt to different constraints or objectives.

real-time optimization

Focuses on the immediate and responsive nature of the optimization.

self-adjusting optimization

Emphasizes the autonomous aspect of the optimization process.

responsive optimization

Highlights the system's ability to react to changes and optimize accordingly.

iterative optimization

Focuses on the step-by-step refinement process of optimization.

evolutionary optimization

Suggests the optimization evolves and improves over time.

intelligent optimization

Highlights the use of smart algorithms and techniques in optimization.

automated optimization

Emphasizes the reduction of manual steps in the optimization.

parameter-adaptive optimization

Highlights that parameters are adjusted automatically during optimization.

FAQs

How to use "adaptive optimization" in a sentence?

You can say, "The algorithm uses "adaptive optimization" to improve its performance over time" or "Adaptive optimization techniques are applied to minimize energy consumption".

What can I say instead of "adaptive optimization"?

You can use alternatives like "dynamic optimization", "flexible optimization", or "real-time optimization" depending on the context.

Which is correct, "adaptive optimization" or "adaptation optimization"?

"Adaptive optimization" is more common and generally refers to a process that adjusts in real-time. "Adaptation optimization" is less frequent and might refer to optimizing a system for adaptation to a specific environment.

What's the difference between "adaptive optimization" and "automated optimization"?

"Adaptive optimization" implies continuous adjustment based on feedback, while "automated optimization" simply means the optimization process is performed automatically, without necessarily adapting to changing conditions.