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Salp swarm algorithm: survey, analysis, and new applications
Published 2024“…In this paper, the most important literature and previous studies related to the subject of the study were presented, where nearly 30 researches were referred to develop a theoretical framework related to SSA and other improved algorithms and to compare SSA with other systems. …”
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Automatic image quality evaluation in digital radiography using for‐processing and for‐presentation images
Published 2024“…Various examination protocols were used, which incorporate diverse post‐processing algorithms. …”
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Review and analysis for the Red Deer Algorithm
Published 2021“…Different variants and hybrids of this algorithm are presented and investigated. All the applications that were solved with this algorithm are presented. …”
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An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
Published 2016“…The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …”
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The Role of KM in Enhancing AI Algorithms and Systems
Published 2020“…Knowledge Management processes present a vital role in improving AI systems and algorithms. …”
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Optimal Sizing and Techno-Economic Analysis of Hybrid Renewable Energy Systems—A Case Study of a Photovoltaic/Wind/Battery/Diesel System in Fanisau, Northern Nigeria
Published 2020“…The break-even distance found was 16.2 km, while the NPV and SPP of the hypothetical project were USD 572,382 and 2.8 years, respectively. The savings in carbon dioxide (CO2) emissions of the proposed system compared to the grid extension and the diesel generator were found to be 85,401.08 kg/year and 122,062.85 kg/year, respectively. …”
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Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022“…Popular multiclass classifiers for feature selection were also examined. Moreover, we also presented the challenges of metaheuristic algorithms for feature selection, and we identified gaps for further research studies.…”
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A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
Published 2002“…This paper presents a parallel algorithm to solve the Clique Partitioning Problem, an NP-complete problem. …”
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A Recommended Replacement Algorithm for the Scalable Asynchronous Cache Consistency Scheme
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An enhanced k-means clustering algorithm for pattern discovery in healthcare data
Published 2015“…Mainly, we study k-means clustering algorithms on large datasets and present an enhancement to k-means clustering, which requires k or a lesser number of passes to a dataset. …”
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A hybrid distributed test generation method using deterministic and genetic algorithms
Published 2017“…Test generation is a highly complex and time-consuming task. In this work, we present a distributed method for combinational test generation. …”
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Robust Coordinated Design of Excitation and TCSC-Based Stabilizers Using genetic algorithms
Published 2004“…The real-coded genetic algorithm (RCGA) is employed to search for optimal controller parameters. …”
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A non-convex economic load dispatch problem using chameleon swarm algorithm with roulette wheel and Levy flight methods
Published 2023“…An Enhanced Chameleon Swarm Algorithm (ECSA) by integrating roulette wheel selection and Lévy flight methods is presented to solve non-convex Economic Load Dispatch (ELD) problems. …”
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Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks
Published 2013“…A multi-objective problem for energy and distortion minimization is formulated and an energy-efficient, quality of service (QoS) aware suboptimal approach is presented for collaborative video transmission. In the proposed approach, mobiles are grouped into collaborative clusters using a low-complexity clustering algorithm. …”
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Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques
Published 2020“…In this research, different machine-learning algorithms such as logistic regression, random forest and naïve Bayes were tuned and tested. …”
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Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study
Published 2022“…This methodology includes a variance-based sensitivity analysis to determine building parameters that significantly influence indoor air temperatures, the Multi-Objective Genetic Algorithm to calibrate different rooms simultaneously based on the significant param eters identified by the sensitivity analysis, and new evaluation criteria to achieve a high-accuracy calibrated model. …”
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Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant
Published 2019“…Practical constraints such as generator limits and power balance were considered. Two contemporary metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA), have were simultaneously implemented for combined economic emission dispatch (CEED) of an independent power plant (IPP) situated in Pakistan for different load demands. …”
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