The phrase "a method that optimizes" is correct and usable in written English.
You can use it when describing a technique or approach that improves efficiency or effectiveness in a particular context.
Example: "We developed a method that optimizes resource allocation in our project management system."
Alternatives: "a technique that enhances" or "an approach that improves".
We developed a method that optimizes the design of a single chemical process to be implemented in an existing multi-purpose batch plant, in which a well-defined set of equipment units is available for realizing this process.
We developed a method that optimizes the design of a single chemical process to be implemented in an existing multipurpose batch plant, in which a well-defined set of equipment units is available for realizing this process.
In this paper, we develop a method that optimizes the design of a one-way carsharing service between selected origin destination pairs of an existing round-trip carsharing system.
It is a method that optimizes locally the statistical significance of clusters, defined with respect to a global null model.
That is, we wish to construct a method that optimizes a joint sequence-reconciliation score.
PSO originally developed by Kennedy et al. is a computational method that optimizes a problem by iteratively improving a candidate solution with regard to a given measure of quality [46, 47].
Previous works, which are related to test case prioritization, showed that practitioners need a novel method that optimizes test cases according to the cost of each test case instead of regarding the total cost of a test suite.
This paper discusses a structural optimization method that optimizes shape and topology based on the phase field method.
A cost design parameter method that optimizes cost and design characteristics simultaneously during product development is presented.
In addition, we propose a novel tuning method that optimizes the closed-loop performance with respect to certain robustness constraints while also providing robustness to delay variance via jitter margin maximization.
Nelder Mead simplex method (NM), originally developed in deterministic optimization, is an efficient direct search method that optimizes the response function merely by comparing function values.
