Long et al. [17] describe a graph-based algorithm to determine cell identities in a 3D confocal image of C. elegans based on their highly stereotyped arrangement and quote an average accuracy of 94.91%.
The paper presents a simulation-based algorithm to determine the good trade-off between resource levels and inventory levels as well as how to best distribute delivery times in the network while respecting delivery delays and multiple market offers.
With 4 GPS receivers located in the equatorial anomaly region in southeast China, this paper proposes a grid-based algorithm to determine the GPS satellites and receivers biases, and at the same time to derive the total electron content (TEC) with time resolution of 15 min and spatial resolution of 1° by 3.5° in latitude and longitude.
To examine the extent of mixed ancestry, we used a model-based algorithm to determine genetic ancestry of each individual in a given number of ancestral populations without population designation as implemented in ADMIXTURE (ver. 1.22) (Alexander et al. 2009).
The proposed research proves to be an advance in gear machine design by using a multi-objective based genetic algorithm, to determine the optimal design of the gears and the casing by maximizing the volumetric efficiency, minimizing pressure overshoots, localized cavitation and noise emissions.
Compared with previous models that were mainly based on the use of fixed decision factors and did not taken into account the treatment cost, this model introduces a relationship model based on back propagation algorithm to determine the set of decision factors according to the expected optimization targets.
A novel simple method is proposed based on a Genetic Algorithm to determine the main design and operation parameters of the dividing-wall column.
Chiang and Chen (2007) resolved the availability problem via simulated annealing (SA) based multi-objective genetic algorithm to determine the optimal solution of failure rates, repair rates, and the number of components in each subsystem, according to multi-objectives, such as system availability, system cost and system net profit.
By adding a new local search strategy and a selection operator into the normal biogeography-based optimization, this work develops a biogeography-based optimization based on local search (BBOLS) algorithm to determine an optimal set of excitation current values for LAAs and an optimal set of excitation current as well as spacing values for CAAs.
We construct a Bayesian network, and propose an algorithm based on the sum-product algorithm to determine the exact goodput.
