We introduce two different types of algorithms, the single-move auxiliary field Metropolis Monte Carlo algorithm and two new classes of force-based algorithms, which enable multiple-move propagation.
In addition, the presented work includes a new multi-frequency measurement procedure, based on an FFT algorithm, which enables the simultaneous real-time measurement of up to 16 sensor spots.
An advanced OLSR (AOLSR) protocol is proposed based on a modified Dijkstra's algorithm which enables routing in multiple paths of dense and sparse ne0074work topologies.
Based on the above analysis, we state the algorithm which enables us to obtain the overall optimal policy for the single-warehouse system and two-warehouse inventory system.
Then, based on the GJK distance algorithm, we develop an iterative algorithm, which enables us to solve the linear system without calculating the Minkowski sum and compute the CFF and CFD in real time.
Mixed integer optimization uses a special algorithm, which enables the optimization variables to be fixed to discrete values as is required for the embedding dimension m.
BIAsp 30 has a simple dose-titration algorithm, which enables patients to effectively self-titrate their insulin dose.
We implemented NexGenEx- as a role based platform which enables the exploration of NGS based transcriptome collections.
Their approach is based on logical nodes (templates), which enable instantiating and grouping the nodes, based on their exported attributes.
In addition, the ANN model was combined with a cost function based multi-objective Genetic Algorithm (GA), which enabled the operating conditions to be inversely predicted for specified values of the output variable (e.g., server rack inlet temperatures).
In this paper, a Pareto based multi-objective genetic algorithm is proposed, which enables a faster convergence without degrading the estimated set of solutions.
