Search Results - optimization algorithm

Introduction. The estimation of efficiency of methods and algorithms for solving optimization problems with a vector criterion and a set of nonlinear constraints is considered. The approach that allows proceeding to an optimization problem with a single objective function (i.e., an unconditional opt...

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Objectives. A frequently used method for obtaining Pareto-optimal solutions is to minimize a selected quality index under restrictions of the other quality indices, whose values are thus preset. For a scalar objective function, the global minimum is sought that contains the restricted indices as pen...

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In reality, photoacoustic imaging (PAI) is generally influenced by artifacts caused by sparse array or limited view. In this work, to balance the computing cost and artifact removal performance, we propose an iterative optimization method that does not need to repeat solving forward model for every...

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Nondiffracting beams maintain their intensity profiles over a large propagation distance without substantial diffraction and exhibit unique propagation trajectories, leading to scientific impacts in various fields. However, the nonlocalized intensity distribution of nondiffracting beams is restricti...

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The optimization algorithm for solving homogeneous allocation problems of the scheduling theory is described and proved. It is a modification of Romanovsky’s algorithm known in this problem domain. Romanovsky’s algorithm is a classical version of the branch-and-bound method with one-way traversing a...

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Maximum cut (MaxCut) on graphs is a classic NP-hard problem. In quantum computing, Farhi, Gutmann, and Goldstone proposed the quantum approximate optimization algorithm (QAOA) for solving the MaxCut problem. Its guarantee on the cut fraction (the fraction of edges in the output cut over all edges) w...

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The setting of parameter values will directly affect the performance of the neural network, and the manual parameter tuning speed is slow, and it is difficult to find the optimal combination of parameters. Based on this, this paper applies the improved Hunger Games search algorithm to find the optim...

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Frequency domain reflection (FDR) has good detection and localization ability for defects or faults with weak impedance changes, and has been widely used in the field of cable fault diagnosis, however, in recent years, field experience has shown that this method cannot solve the problem of judging t...

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Backgrund. Adequate treatment of patients with cervical cancer remains an urgent problem of modern cancer care. In the study protocol of College of American Pathologists the algorithm of summary formation in cases of invasive cervical cancer is described in details, but there is no algorithm for the...

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Modeling of batteries is necessary to control their operating mode and diagnose their condition. It is important to model the life cycle, i. e. degradation of basic parameters over a long service life. This is due to the fact that the cost of buffering electricity by batteries is associated with the...

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  An automatic text summarization system mimics how humans summarize by picking the most ‎significant sentences in a source text. However, the complexities of the Arabic language have become ‎challenging to obtain information quickly and effectively. The main disadvantage of the ‎traditional approa...

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The coronavirus herd immunity optimizer (CHIO) algorithm was introduced to address the optimal scheduling problem of cascade hydropower plants, and an improved algorithm called LCHIO was proposed. The CHIO algorithm was enhanced by adopting two strategies: the Latin hypercube strategy for generating...

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The paper discusses methods and algorithms of artificial intelligence aimed at automating and optimizing business processes in e-commerce. The possibilities of using artificial intelligence to personalize customer offers, predict consumer behavior and segment customers using machine learning methods...

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