Risultati della ricerca - optimization algorithm
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921
On the Effectiveness of the Minimization Approach to the Query Optimization
Pubblicazione 2016-04-01“...It includes minimization algorithms based on “condition absorption”, prime implicants, and a set of linear inequalities minimization technics. ...”A standard problem of DBMSs usage is a lack of efficiency and high cost of the access to the stored data. The acceptable level of system performance may be achieved by query optimization technics that determine the most efficient way to execute a given query by its modification and considering possi...
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922
District heating network topology optimization and optimal co-planning using dynamic simulations
Pubblicazione 2025-09-01“...To determine the optimal topology, a new algorithm designed specifically for district heating networks is presented. ...”District heating networks play a critical role in the transition of the heating supply of buildings to renewable sources. The transition from coal-fired or gas-fired generation units to heat pumps requires new planning methods for district heating networks, since the efficiency of a heat pump is aff...
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923
Honeyword Generation Using a Proposed Discrete Salp Swarm Algorithm
Pubblicazione 2023-04-01“...This work will present a novel honeyword generation method that uses a proposed discrete salp swarm algorithm. The salp swarm algorithm (SSA) is a bio-inspired metaheuristic optimization algorithm that imitates the swarming behavior of salps in their natural environment. ...”Honeywords are fake passwords that serve as an accompaniment to the real password, which is called a “sugarword.” The honeyword system is an effective password cracking detection system designed to easily detect password cracking in order to improve the security of hashed passwords. For every user,...
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924
Optimization of classifier ensemble diversity
Pubblicazione 2024-07-01“... Ensemble diversity was investigated for 12 classifiers and 16 datasets using a generalization error and ambiguity decomposition of the model bias-variance relationship. Diversity was optimized using a genetic algorithm and particle swarm optimization. ...”Ensemble diversity was investigated for 12 classifiers and 16 datasets using a generalization error and ambiguity decomposition of the model bias-variance relationship. Diversity was optimized using a genetic algorithm and particle swarm optimization. Classifiers with the greatest contrib...
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925
LIVER EXPLANATION TECHNOLOGY OPTIMIZATION
Pubblicazione 2020-03-01“...Experimental testing of the developed liver explantation algorithm showed a decrease in the laboriousness and invasiveness of the operation, which was expressed in a reduction in the time of its implementation and in a decrease in morphological changes in the transplants during subsequent prolonged static hypothermic preservation....”Objective – to reduce mechanical and ischemic damage to the liver during explantation. Materials and methods. An experiment was conducted on liver explantation on 14 sexually mature outbred rabbits of both sexes with zoetil anesthesia. In comparison with the traditional method of liver explantation...
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926
CMA-PSO Algorithm for Fuzzy Cloud Resource Scheduling
Pubblicazione 2022-02-01“...Aiming at the multiobjective cloud resource scheduling problem, with the goal of optimizing the total completion time and total execution cost of the task, a fuzzy cloud resource scheduling model is established using the method of fuzzy mathematics.Utilizing the advantage of the covariance matrix that can solve the non-convexity problem, adopting the covariance evolution strategy to initialize the population, a hybrid intelligent optimization algorithm CMA-PSO algorithm (covariance matrix adaptation evolution strategy particle swarm optimization，CMA-PSO) is proposed to solve the fuzzy cloud resource scheduling model.The Cloudsim simulation platform was used to randomly generate cloud computing resource scheduling data, and the CMA-PSO algorithm was tested.The experimental results showed that compared with the PSO algorithm (particle swarm optimization), the optimization capability of CMA-PSO algorithm is increased by 28%, the number of iterations of CMA-PSO algorithm is increased by 20%, and it has good load balancing performance....”Aiming at the multiobjective cloud resource scheduling problem, with the goal of optimizing the total completion time and total execution cost of the task, a fuzzy cloud resource scheduling model is established using the method of fuzzy mathematics.Utilizing the advantage of the covariance matrix t...
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927
Noise Elimination of Reciprocating Compressors Using FEM, Neural Networks Method, and the GA Method
Pubblicazione 2017-04-01Soggetti: TestoIndustry often utilizes acoustical hoods to block noise emitted from reciprocating compressors. However, the hoods are large and bulky. Therefore, to diminish the size of the compressor, a compact discharge muffler linked to the compressor outlet is considered. Because the geometry of a reciprocatin...
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928
Investigating inter-turn insulation fault detection and classification in adjustable motor drives using novel hybrid machine learning approach
Pubblicazione 2025-09-01Soggetti: TestoThis paper proposes a novel approach for detecting induction motor faults. It aims to determine the optimal parameter for accurate inter-turn fault detection in induction motors. The Walrus Optimization Algorithm (WOA) is included in this work to tune the optimal weight parameter for the proposed Bi...
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929
WSN Self-Adaptive Relay Selection for Distribution Grid Monitoring
Pubblicazione 2023-06-01Soggetti: TestoTo research the relay selection of wireless sensor network ( WSN) to improve the monitoring level of distribution network, a self-adaptive ε-greedy algorithm-based WSN relay selection optimization method is proposed according to the existing ε- greedy method. Firstly, considering the complex topolog...
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930
Two-Stage Uncertain UAV Combat Mission Assignment Problem Based on Uncertainty Theory
Pubblicazione 2025-06-01Soggetti: “...modified particle swarm optimization algorithm...”Based on uncertainty theory, this paper studies the problem of unmanned aerial vehicle (UAV) combat mission assignment under an uncertain environment. First, considering both the target value, which is the combat mission benefit gained from attacking the target, and the unit fuel consumption of UAV...
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931
Efficient sepsis detection using deep learning and residual convolutional networks
Pubblicazione 2025-07-01Soggetti: TestoSepsis is a life-threatening complication caused by infection that leads to extensive tissue damage. If not treated promptly, it can become fatal. Early identification and diagnosis of sepsis are critical to improving patient outcomes. Although recent technological advancements have aided sepsis det...
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932
Network- and Demand-Driven Initialization Strategy for Enhanced Heuristic in Uncapacitated Facility Location Problem
Pubblicazione 2025-06-01Soggetti: TestoAs network scale and demand rise, the Uncapacitated Facility Location Problem (UFLP), a classical NP-hard problem widely studied in operations research, becomes increasingly challenging for traditional methods confined to formulation, construction, and benchmarking. This work generalizes the UFLP to...
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933
Study on Trajectory Planning for Polishing Free-Form Surfaces of XY-3-RPS Hybrid Robot
Pubblicazione 2025-05-01Soggetti: TestoFree-form surface polishing is a key process in precision machining within high-end manufacturing, where optimizing the polishing trajectory directly influences both processing quality and efficiency. Traditional trajectory planning methods for free-form surface polishing in high-curvature regions s...
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934
Stochastic Multi-objective Distribution Network Reconfiguration Considering Wind Turbines
Pubblicazione 2021-06-01Soggetti: “...optimization algorithm...”Distribution Network Reconfiguration (DNR) is an important challenge in the operation of distribution networks which may be influenced by factors such as Wind Turbine Generators (WTG). In this paper, a novel policy is implemented to solve the DNR problem in presence of WTGs. The objectives of propos...
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935
Research on Bearing Fault Diagnosis Method Based on MESO-TCN
Pubblicazione 2025-06-01Soggetti: TestoTo address the issues of information redundancy, limited feature representation, and empirically set parameters in rolling bearing fault diagnosis, this paper proposes a Multi-Entropy Screening and Optimization Temporal Convolutional Network (MESO-TCN). The method integrates feature filtering, netwo...
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936
Evolutionary Optimization of Microwave Filters
Pubblicazione 2011TestoNone
Elettronico Capitolo di libro
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937
TLBO algorithm for the optimum sensor placement in barrel structures
Pubblicazione 2025-05-01“...This study aims at reducing the total number of sensors needed and to find the optimal sensor placement. The meta-heuristic method named the Teaching-Learning Based Optimization (TLBO) algorithm is preferred. ...”In civil engineering, structural health monitoring (SHM) involves observing and analyzing a system over time using periodic measurements of the engineering structures themselves. These measurements are made using sensors. This study aims at reducing the total number of sensors needed and to find the...
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938
Practical aspects of using of parallel computing in genetic algorithm
Pubblicazione 2019-06-01“...Practical implementation methods for parallel computations in the genetic algorithm for discrete optimization, using the example of calculating dimensional chains are considered. ...”Practical implementation methods for parallel computations in the genetic algorithm for discrete optimization, using the example of calculating dimensional chains are considered. An approach for determining the boundary dimensions of population on the basis of probability calculating for independent...
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939
Algorithms for connected word recognition a global approach
Pubblicazione 2014-04-01TestoIn this paper, which is basically a review, three approaches to the problem of recognizing word connected speech are presented. They all use the dynamic programming technique to solve the optimization problem which occurs in matching an unknown utterance against an artificially synthesized sequence...
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940
Artificial-Intelligence-Based Energy Management Strategies for Hybrid Electric Vehicles: A Comprehensive Review
Pubblicazione 2025-07-01Soggetti: TestoThe worldwide drive towards low-carbon transportation has made Hybrid Electric Vehicles (HEVs) a crucial component of sustainable mobility, particularly in areas with limited charging infrastructure. The core of HEV efficiency lies in the Energy Management Strategy (EMS), which regulates the energy...
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