Sentence examples for for improved optimization from inspiring English sources

These concerns motivate the need for improved optimization approaches, and in particular intelligent, decentralized methods which are capable of reducing centralized communication bottlenecks, distributing the processing of data, and protecting privacy, while still being capable of maintaining globally optimal or near-optimal operation.

The presented CGO-AS is therefore especially useful in exposing the power of the mixed individual and social learning for improving optimization.

The improvement of the GA as well as the evaluation method proposed in this paper provide a new approach for choosing and improving optimization algorithms to solve the ELDP of large-scale hydropower plants.

Furthermore, stochastic learning and opposition based learning operations are employed to the global best population for accelerating convergence speed and improving optimization accuracy.

To this end, an automatic ontology based optimization system that links rule-based optimization model and ontology has been introduced for the purpose to both improve optimization performance and to present new extracted knowledge at optimization run-time.

An overview is given of studies performed and results obtained for this design so far, of its advantages and disadvantages, and of future plans for improved automatic optimization of the design.

In this paper, optimization problems of typical centralized air-conditioning systems were solved by the non-revisiting (Nr) strategy, which was proposed to be incorporated into the common heuristic methods for improving the optimization effectiveness and reliability.

RSM is a compilation of statistical and mathematical methods developed for improving the optimization processes.

These three sets of consensus sequences represent distinct stages in the evolutionary history of the Family B protein from its original discovery in a pool of 4 trillion random sequences to its optimization for improved binding and subsequent optimization for improved folding.

The application of piezoelectric composites in energy harvesters is continuously increasing even at the microscale, with the immediate corollary of a fundamental need for improved computational tools for optimization of performances at the design level.

For improved performance of SCVs, optimization study is carried out using the porous media model and the Entropy Minimization Method (EMM) for two boundary conditions: constant temperature and constant heat flux.