Resonancechaotic motionperturbation theorytidal evolutionMirandaThe full source code in FORTRAN IV is given in Appendix II.doi:10.1002/nme.1620281213Ľubomír OndrisJohn Wiley & Sons, Ltd.International Journal for Numerical Methods in Engineering
At the start, both the average solution and its variance are distant from the global optimum. However, the gap between the average solution and the global optimum narrows down until it reaches its lowest point during the optimization. A toggle parameter determines whether to embark on the explora...
Finally a statistical global optimization algorithm called zone3d (see Section 3), based on simulated annealing, is presented which is guaranteed to find an optimal solution. It is important to underline that the algorithm zone3d does not require any a priori ranking rule, and that the packing ...
The maximum bipartite matching is similar to a nearest neighbor based matching heuristic, but it is more systematic and accurate since it solves the matching problem with global optimality. After computing the matching between ground truth and the model predictions, we calculate the precision, recall...
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International Journal of Critical Infrastructure ProtectionJournal2022,International Journal of Critical Infrastructure Protection Muhammad AzmiUmer, ...Aditya P.Mathur 5.4Algorithms Machine learning anddeep learningalgorithms can be broadly classified into three major categories, namely, Supervised Learning,Unsupe...
Al-Betar MA, Awadallah MA, Doush IA, Hammouri AI, Mafarja M, Alyasseri ZA (2012) Flower pollination algorithm for global optimization, In: International conference on unconventional computing and natural computation, Springer, Berlin, 240–249 Anderson RM, Heesterbeek H, Klinkenberg D, Hollingswo...
the main limitation of these algorithms including the SGO is the reliability of them in initial random solutions created by these algorithms. The initial solutions near to global optimal can make the algorithms converge to better solutions while the solutions far from the global optima can underestima...
The total variation (TV) regularization with $$l_1$$ fidelity is a popular method to restore the image contaminated by salt and pepper noise, but it often suffers from limited performance in edge-preserving. To solve this problem, we propose a nonconvex
When faced with complex problems, the heuristic algorithm has lower complexity and faster calculation speed than the traditional exhaustive method, but cannot guarantee the convergence to the global optimal solution. The basic idea in motion planning is to discretize the state space into a graph in ...