Søgeresultater - optimization algorithm

New algorithms for query modifications are proposed. These algorithms involve the lexical optimization based on the mathematical transformations that have never been used for the query optimization before.

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The MFO algorithm is one of the modern optimization algorithms based on swarm intelligence, and the SMA algorithm is also one of the latest algorithms in the same field and has the advantages of fast convergence, high convergence accuracy, robust and robust. In this research paper, we introduce an...

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The article deals with the problem of the efficiency of data compression algorithms. The analysis of the effectiveness of the speed characteristics of data compression of the Btrfs file system of the Linux kernel has been performed. An algorithm for optimizing the choice of data for real-time compre...

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The problem of improvement of modern diagnostic technologies is discussed. Introduction of algorithmic approach is able to optimize diagnostics and its costs. Various algorithmic models, their features and structure are reviewed. As an example the algorithm of differential diagnostics of hypokaliemi...

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Hyperparameter optimization (HPO), which is also called hyperparameter tuning, is a vital component of developing machine learning models. These parameters, which regulate the behavior of the machine learning algorithm and cannot be directly learned from the given training data, can significantly af...

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In this paper, we study three algorithmic problems involving computation trees: the optimization, solvability, and satisfiability problems. The solvability problem is concerned with recognizing computation trees that solve problems. The satisfiability problem is concerned with recognizing sentences...

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Electric energy storage systems have advanced significantly in recent years, driven by the growing expansion of renewable energy sources, the rise of electromobility, and other emerging configurations within the current electrical energy system. Among the various energy storage technologies, superca...

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The partitioning a set of professional programmers into a set of teams when a programming project specifies requirements to the competency in various programming technologies and tools is a hard combinatorial problem. The paper proposes a genetic algorithm, which is capable of finding competitive an...

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A new human-based heuristic optimization method, named the Snooker-Based Optimization Algorithm (SBOA), is introduced in this study. The inspiration for this method is drawn from the traits of sales elites—those qualities every salesperson aspires to possess. Typically, salespersons strive to enhan...

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One of the most important tasks for improving the infrastructure facility of railways is its optimization. Currently, work is underway to create a new (fifth) generation of turnout products for Russian Railways. A model range of turnouts of resource-saving design is developed for rapid and high-spee...

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The implementation of genetic algorithms to the optimal design of variable thickness plates is presented. Thin, elastic, piecewise constant thickness plates subjected to bending are investigated. The material distribution that minimizes the structural strain energy under constant volume constraint i...

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Transportation problem is a model which is commonly used in data structure solving a problem (human problem solving due to the computational method) because all the humans are related to transportation in any type of manner. Normally, traditional mathematical procedures used for solving the problem...

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The model of the regimes optimization of secondary cooling MNLZ, differing from the known ones by taking into account pressures and deformations occurring in different zones of ZVO is offered. The model takes into account the thermal and physical characteristics of steel type at evaluation of the he...

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An analysis of computational pipelines and their optimization methods has been performed. A class of dataflow pipelines that do not use resource sharing and obtain high throughput has been considered. Pipeline optimization tasks being solved during high-level synthesis from random logic behavioral s...

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The article considers the possibilities of using the Ant Colony Optimization algorithm to find the shortest path in the network based on the selected criteria. Its performance is compared to Dijkstra's algorithm and LCA algorithm, which is widely used in different network routing protocols. An...

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