Sentence examples for well established optimization from inspiring English sources
Further, the convergence characteristics of the FA are compared to justify its efficiency with other well established optimization technique such as PSO, BFO and ABC.
Well established artificial based optimization algorithm such as genetic and particle swam optimization are successfully applied for such applications.
It is now well established that the optimization of the performance of the whole communication system has to consider the effect of its Radio-Frequency (RF) front-end to avoid a waste of resources and a huge margin in design.
In contrast to well established partitioning approaches, all optimization objectives are implicitly incorporated and achieved during the particle relaxation to stationary state.
Diagnostic Reference Levels (DRLs), a well established method for dose optimization, are not yet defined for CBCT and have to be set for various clinical indications.
In addition, we use two well established meta-heuristics for global optimization, i.e., particle swarm optimization (PSO) and differential evolution (DE), as well as the derivative-based algorithm 717 (A717), essentially designed for nonlinear least-squares estimation.
The results obtained using the proposed methods are compared with those obtained using other optimization methods well established in the literature.
We present MEMPSODE, a global optimization software tool that integrates two prominent population-based stochastic algorithms, namely Particle Swarm Optimization and Differential Evolution, with well established efficient local search procedures made available via the Merlin optimization environment.
The methods employed in the optimization process are well established and economically viable, which provide the technical potential for commercialization of plasmonic based solar cells.
The use of macromechanical equations in composite design and optimization problems is also well established.
Structural optimization is a very well established design tool in several engineering fields when the problem is formulated with a single objective function and the feasible design region turns out to be convex.
