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On the properties of a quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem, see [315]. About the performance of the quantum adiabatic algorithm on random instances of two optimization problems on regular hypergraphs, see [316]. For a study about training a...
Whale Optimization Algorithm (WOA), as a newly proposed swarm-based algorithm, has gradually become a popular approach for optimization problems in various engineering fields. However, WOA suffers from the poor balance of exploration and exploitation, and premature convergence. In this paper, a new ...
this section, we describe our epo algorithm for comparing a set of possibly high dimensional general curves . if we are given a set of protein folding data, we first convert each folding trajectory to a high dimensional curve. in particular, a folding trajectory is a sequence of conformations...
a durational action. In this paper (and in all applications), we restrict ourselves towell-timedprocesses in the spirit of [27], i.e., to processes where any infinite sequence of actions contains infinitely many time steps or infinitely many input actions, such as receiving an incoming ...
We have generated a rat model, with three familiar App mutations and humanized Aβ sequence knocked into the rat App gene. Without altering the levels of full-length APP and other APP fragments, this model exhibits pathologies and disease progression resembling those in human patients: deposit of...
Each sequence includes 4-frame phase-shifting interferograms, and the corresponding phase distributions with and without PSD are calculated by different algorithms. The parameters in equa- twmiohanenrsce e(δ4on–f 7t=h)eaθprner−orpeo2spsπee(dcntmi−veetl1hy)o/sd4etadraeesnaoγnt1ae=...
Simoes T, Mira NP, Fernandes AR, Sa-Correia I: The SPI1 gene, encoding a glycosylphosphatidylinositol-anchored cell wall protein, plays a prominent role in the development of yeast resistance to lipophilic weak-acid food preservatives. Appl Environ Microbiol. 2006, 72: 7168-7175. 10.1128/AEM....
Later, they extended this algorithm to deal with uncertainty in the robot states [79]. Chopra et al. [94] have solved a class of “spatiotemporal” multi-robot routing problems where a distributed version of the HA computes a sequence of assignments iteratively to obtain sub-optimal routes ...
(2021), where the global optimal path is first generated by the improved heuristic A* algorithm, and the optimal path is divided into multiple sub-target points to form a sequence of sub-target points. MTAPF can greatly reduce the probability of a mobile robot falling into local minima and...