The phrase "absolute optimum" is correct and usable in written English.
It can be used in contexts where you want to describe the best possible condition or outcome in a given situation, often in fields like mathematics, economics, or optimization.
Example: "In order to achieve the absolute optimum for our production process, we need to analyze all variables involved."
Alternatives: "perfect solution" or "ideal outcome".
Swarm intelligence is a member of exploration calculations which is used in different industrial, commercial and engineering fields due to its wide range of applications, easy implementation and capability of reaching the absolute optimum.
The Non-dominated Sorting Genetic Algorithm (NSGA-II) provides a decision support mechanism in solving multi-objective problems and providing a set of non-dominated solutions where finding an absolute optimum solution is not possible.
The final solution is considered as the absolute optimum.
"All his blood vessels were already dilated and he had all the enzymes that help muscles perform to their absolute optimum, and maybe that protected him.
This algorithm, as an evolutionary optimization strategy, possesses an excellent performance in convergence speed and absolute optimum point [22, 23, 24, 25, 26, 27].
Are suboptimal solutions found by the algorithm close enough to the absolute optimum?
First, MALDI was found to be an optimum absolute molecular weight technique accompanying viscosity measurements for determining Mark Houwink Sakurada parameters.
Some rudimentary background and experience in tooling requirements, and methods is necessary for the design team before they embark on the detail part design for a given plastics process; some consider tooling knowledge and experience as an absolute necessity for optimum part design and development.
The design of the lens also ensures that vignetting is kept to an absolute minimum, ensuring optimum image quality.
Above this threshold, the rate of adaptation fails to keep pace with the rate of change in the optimum, and absolute fitness decreases with increasing adaptational lag, eventually causing extinction.
In fact, although all test problems included in this study have optimum of zero, the absolute value is used in calculating (RCIR) as a general rule to deal with positive, negative, or mixed values of objective function.
