from UML State Diagram using Genetic Algorithm Test Data Generation ( Cont .)Automatic, AnData, TestAlgorithm, Genetic
Chapter four introduces multi-UAV mission planning based on the Voronoi diagram-taboo genetic algorithm. The conclusions are presented at the end of the paper. 2. UAV Mission Planning Model Based on Voronoi Diagram-TGA (V-TGA) 2.1. The Mission Background Here, we consider a model, where NT...
Alshayeb, M., Mumtaz, H., Mahmood, S., Niazi, M.: Improving the security of UML sequence diagram using genetic algorithm. IEEE Access 8, 62738–62761 (2020). https://doi.org/10.1109/ACCESS.2020.2981742 Article Google Scholar Barriga Rodriguez, A., Bettini, L., Iovino, L., Rutle,...
Here, we tackle the NP-hard problem of influence maximization on social networks by means of a Genetic Algorithm. We show that, by using simple genetic operators, it is possible to find in feasible runtime solutions of high-influence that are comparable, and occasionally better, than the ...
The sparse identification of nonlinear dynamics (SINDy) algorithm (Brunton et al., 2016) promotes sparsity among a library of candidate functions to discover ordinary differential equations (ODEs). However, the dynamics must have a sparse representation in the pre-defined library. Genetic algorithms ...
As connectomics advances, it will become commonplace to know far more about the structure of a nervous system than about its function. The starting point for many investigations will become neuronal wiring diagrams, which will be interpreted to make theo
Here we present a neuronal wiring diagram of a whole brain containing 5 × 107 chemical synapses7 between 139,255 neurons reconstructed from an adult female Drosophila melanogaster8,9. The resource also incorporates annotations of cell classes and types, nerves, hemilineages and predictions of ...
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A long-standing goal in neuroscience is to understand how a circuit’s form influences its function. Here, we reconstruct and analyze a synaptic wiring diagram of the larval zebrafish brainstem to predict key functional properties and validate them throu
Application of metaheuristics for city logistics planning has been investigated by Rooijen et al. [24] who use VRPTW (Vehicle Routing Problem Under Time Windows) and genetic algorithm to model the impact of community level regulation on city logistics. Cost-benefit analysis approaches involve evaluatio...