An AWD approach is proposed, which optimizes two objective functions, namely minimizing the upper bound of the recovery error and maximizing the weakest-target return, by adjusting the complex weights of the emitting waveform amplitudes.
Most remarkable on the presented approach in comparison to other linear approaches is the additive objective function, which optimizes both the maximum utilization as well as the average utilization.
A general approach is to use a data-driven method and to select the number of df which optimizes a particular criterion [ 40], like AIC.
For clustering, Gupta and Ranganathan [16, 17] used a microeconomic game theoretic approach, which simultaneously optimizes two objectives, viz.
We showed in simulations that the new method outperforms a panel of MDS-based approaches, including ChromSDE, which optimize an often ad hoc stress function.
The module consists of several optimization approaches, and a Tabu search-based approach, which can optimize the selection of machining resources, determination of set-up plans and sequencing of machining operations to achieve optimal process plans, is elaborated to illustrate the process.
The measurement results validate the proposed approach, which can optimize the performance of VIS when some application conditions varying.
The strategy proposed in this paper is a fine grain approach, which aims to optimize the data rate of data service by monitoring the job queue.
This is different from other approaches which iteratively optimize a heuristically chosen cost function until no improvement is seen [ 19, 20].
Design of experiments (DOE) is a powerful statistical approach which is used for optimizing the process parameters through two stage esterification process, relating acid and alkaline as catalyst.
