Sentence examples for based on different optimization from inspiring English sources

To improve the efficiency of kernel data fusion through the convex combination of kernel matrices, there are several complex convex optimization-based approaches (Bach et al., 2004; Lanckriet et al., 2004a; Rakotomamonjy et al., 2008; Sonnenburg et al., 2006; Vishwanathan et al., 2010) that try to optimize the kernel weights based on different optimization criteria.

Simarro et al. [7] provided a cloud brokering architecture that can work with different scheduling strategies for optimal deployment of virtual services across multiple clouds based on different optimization criteria and several user constraints.

Two algorithms, including smooth approximation algorithm and focal underdetermined system solver (FOCUSS), based on different optimization ideas, are adopted to solve the problem.

This proposed approach, is based on pinch analysis, and can be used to identify the performance targets based on different optimization objectives prior to detailed design of the integrated biorefinery.

Bond-valence parameters have been derived using a variety of methods based on different optimization criteria for both experimental and extrapolated data.

In the future, it will be interesting not only to calculate these effects based on different optimization measures, and in multiple input-output scenarios, but also to compare this with attested cases of biological adaptation.

Three different architectures are suggested based on different VLSI optimization criteria such as area, power, speed, throughput, and memory.

Firstly, two single-objective optimizations based on different objective functions (one is the maximum temperature change on the bottom wall ΔTw,b and the other is the overall thermal resistance R) were performed at a constant pumping power.

Based on different system metrics, multi-objective optimization is applied in order to obtain the optimal filter setup.

Based on different criteria, three types of optimization models are proposed and some properties of them are investigated.

To optimize the crashworthiness (PCF and SEA) of the FGS structures, multi-optimization based on different metamodeling techniques such as response surface method (RSM), radial basis function (RBF) neural network model, kriging (KRG) model and optimization algorithm of non-dominated sorting genetic algorithm (NSGA-II) are performed.