"optimization space" is a correct and usable phrase in written English
It is often used in scientific or technical writing, particularly in the fields of mathematics, computer science, and engineering. It refers to the range or set of options available for optimizing a particular process or system. Example: In order to achieve the fastest processing time, we must carefully consider all variables within the optimization space for our algorithm, including input size, memory usage, and processing efficiency.
Elkington predicts that as technology companies figure out this passive data sourcing, and build trust that companies will "behave" with this data, we will see a "land rush" of workforce optimization, space optimization, and many new technologies to predictably optimize the workplace.
Through the course of the optimization, we also discovered how the dimensions interact with each other in the optimization space.
To solve the problem, the design variables are divided into two subspaces: the first is cable pretension force value and cross-section size optimization space; and the second is shape optimization space.
The optimization space of membrane properties and operating conditions is scanned globally to determine the process design that minimizes LCOE.
These problems are characterized by a complex topology of the optimization space with respect to nonlinearity, multimodality, discontinuity, etc.
The specific techniques considered here include multi-level design optimization, space mapping, and shape-preserving response prediction.
In this paper, a method for solving fuzzy multiobjective optimization of space truss with a genetic algorithm is proposed.
Nonlinear model reduction for large-scale flows is an essential component in many fluid applications such as flow control, optimization, parameter space exploration and statistical analysis.
This problem is difficult due to various processing routs selection, complicated dynamic disturbances, and combinational explosion of the optimization search space.
Furthermore, it also enables to extract algorithm-level information which can then be used in heuristic methods for efficient optimization parameter space exploration in the autotuning process.
In total, over 25 million different buildings constitute the optimization search space, and the most energy efficient design solutions were explored for 8 different climate zones.
