Results 41 to 50 of about 1,758,089 (240)
IEEE Access, 2023 Heuristic search algorithms are informed search strategies that use heuristics to estimate the minimal cost of the path from the current state to the goal. Using this additional knowledge, this type of algorithms can distinguish non-goal states, and then
Ouardi Amine, Mestari Mohammed
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Search algorithms for regression test case prioritization [PDF]
, 2007 Regression testing is an expensive, but important, process. Unfortunately, there may be insufficient resources to allow for the re-execution of all test cases during regression testing.
Li, Zheng +5 more
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Advances in Electrical and Computer Engineering, 2018 Image thresholding is the most crucial step in microscopic image analysis to distinguish bacilli objects causing of tuberculosis disease. Therefore, several bi-level thresholding algorithms are widely used to increase the bacilli segmentation accuracy.
DOGAN, A. +3 more
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Euristinių algoritmų klasifikavimas
Informacijos Mokslai, 2009 Straipsnis skiriamas euristinių optimizavimo algoritmų, kurie jau kelis dešimtmečius traukia kompiuterių mokslo specialistų dėmesį, klasifikavimo klausimų aptarčiai.
Alfonsas Misevičius +2 more
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Hybrid meta-heuristic frameworks : a functional approach [PDF]
, 2013 Problems requiring combinatorial optimisation are routinely encountered in research and applied computing. Though polynomial-time algorithms are known for certain problems, formany practical problems, frommundane tasks in scheduling through to exotic ...
Senington, Richard James
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Arthritis Care &Research, EarlyView.Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim +2 more
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Advances in Electrical and Computer Engineering, 2018 Image thresholding is the most crucial step in microscopic image analysis to distinguish bacilli objects causing of tuberculosis disease. Therefore, several bi-level thresholding algorithms are widely used to increase the bacilli segmentation accuracy.
AYAS, S. +3 more
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Ain Shams Engineering Journal, 2018 This paper presents a comparison between four modern heuristic algorithms for optimal loss reduction of power distribution network equipped with renewable energy resources.
Amr M. Ibrahim, Rania A. Swief
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An Opposition-Based Chaotic Salp Swarm Algorithm for Global Optimization
IEEE Access, 2020 The salp swarm algorithm (SSA) is a bio-heuristic optimization algorithm proposed in 2017. It has been proved that SSA has competitive results compared to several other well-known meta-heuristic algorithms on various optimization problem.
Xiaoqiang Zhao +3 more
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Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
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